-
Zhang, Y.: Understanding the sustained use of online health communities from a self-determination perspective (2016)
0.06
0.055383235 = product of:
0.11076647 = sum of:
0.014646411 = weight(_text_:information in 3216) [ClassicSimilarity], result of:
0.014646411 = score(doc=3216,freq=12.0), product of:
0.0616574 = queryWeight, product of:
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.035122856 = queryNorm
0.23754507 = fieldWeight in 3216, product of:
3.4641016 = tf(freq=12.0), with freq of:
12.0 = termFreq=12.0
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.0390625 = fieldNorm(doc=3216)
0.015294294 = weight(_text_:for in 3216) [ClassicSimilarity], result of:
0.015294294 = score(doc=3216,freq=10.0), product of:
0.06594466 = queryWeight, product of:
1.8775425 = idf(docFreq=18385, maxDocs=44218)
0.035122856 = queryNorm
0.2319262 = fieldWeight in 3216, product of:
3.1622777 = tf(freq=10.0), with freq of:
10.0 = termFreq=10.0
1.8775425 = idf(docFreq=18385, maxDocs=44218)
0.0390625 = fieldNorm(doc=3216)
0.008365843 = weight(_text_:the in 3216) [ClassicSimilarity], result of:
0.008365843 = score(doc=3216,freq=6.0), product of:
0.05541559 = queryWeight, product of:
1.5777643 = idf(docFreq=24812, maxDocs=44218)
0.035122856 = queryNorm
0.15096553 = fieldWeight in 3216, product of:
2.4494898 = tf(freq=6.0), with freq of:
6.0 = termFreq=6.0
1.5777643 = idf(docFreq=24812, maxDocs=44218)
0.0390625 = fieldNorm(doc=3216)
0.009489287 = weight(_text_:of in 3216) [ClassicSimilarity], result of:
0.009489287 = score(doc=3216,freq=8.0), product of:
0.054923624 = queryWeight, product of:
1.5637573 = idf(docFreq=25162, maxDocs=44218)
0.035122856 = queryNorm
0.17277241 = fieldWeight in 3216, product of:
2.828427 = tf(freq=8.0), with freq of:
8.0 = termFreq=8.0
1.5637573 = idf(docFreq=25162, maxDocs=44218)
0.0390625 = fieldNorm(doc=3216)
0.008365843 = weight(_text_:the in 3216) [ClassicSimilarity], result of:
0.008365843 = score(doc=3216,freq=6.0), product of:
0.05541559 = queryWeight, product of:
1.5777643 = idf(docFreq=24812, maxDocs=44218)
0.035122856 = queryNorm
0.15096553 = fieldWeight in 3216, product of:
2.4494898 = tf(freq=6.0), with freq of:
6.0 = termFreq=6.0
1.5777643 = idf(docFreq=24812, maxDocs=44218)
0.0390625 = fieldNorm(doc=3216)
0.05460479 = product of:
0.10920958 = sum of:
0.10920958 = weight(_text_:communities in 3216) [ClassicSimilarity], result of:
0.10920958 = score(doc=3216,freq=8.0), product of:
0.18632571 = queryWeight, product of:
5.3049703 = idf(docFreq=596, maxDocs=44218)
0.035122856 = queryNorm
0.5861219 = fieldWeight in 3216, product of:
2.828427 = tf(freq=8.0), with freq of:
8.0 = termFreq=8.0
5.3049703 = idf(docFreq=596, maxDocs=44218)
0.0390625 = fieldNorm(doc=3216)
0.5 = coord(1/2)
0.5 = coord(6/12)
- Abstract
- Sustained use of an information source is sometimes important for achieving an individual's long-term goals, such as learning and self-development. It is even more important for users of online health communities because health benefits usually come with sustained use. However, little is known about what retains a user. We interviewed 21 participants who had been using online diabetes communities in a sustained manner. Guided by self-determination theory, which posits that behaviors are sustained when they can satisfy basic human needs for autonomy, competence, and relatedness, we identified mechanisms that help satisfy these needs, and thus sustain users in online health communities. Autonomy-supportive mechanisms include being respected and supported as a unique individual, feeling free in making choices, and receiving meaningful rationales about others' decisions. Competence-cultivating mechanisms include seeking information, providing information, and exchanging information with others to construct knowledge. Mechanisms that cultivate relatedness include seeing similarities between oneself and peers, receiving responses from others, providing emotional support, and forming small underground groups for closer interactions. The results suggest that, like emotions, information and small group interactions also play a key role in retaining users. System design and community management strategies are discussed based on these mechanisms.
- Source
- Journal of the Association for Information Science and Technology. 67(2016) no.12, S.22842-2857
-
Zhang, Y.: Developing a holistic model for digital library evaluation (2010)
0.05
0.049090672 = product of:
0.098181345 = sum of:
0.007175247 = weight(_text_:information in 2360) [ClassicSimilarity], result of:
0.007175247 = score(doc=2360,freq=2.0), product of:
0.0616574 = queryWeight, product of:
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.035122856 = queryNorm
0.116372846 = fieldWeight in 2360, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.046875 = fieldNorm(doc=2360)
0.016415559 = weight(_text_:for in 2360) [ClassicSimilarity], result of:
0.016415559 = score(doc=2360,freq=8.0), product of:
0.06594466 = queryWeight, product of:
1.8775425 = idf(docFreq=18385, maxDocs=44218)
0.035122856 = queryNorm
0.24892932 = fieldWeight in 2360, product of:
2.828427 = tf(freq=8.0), with freq of:
8.0 = termFreq=8.0
1.8775425 = idf(docFreq=18385, maxDocs=44218)
0.046875 = fieldNorm(doc=2360)
0.023184106 = weight(_text_:the in 2360) [ClassicSimilarity], result of:
0.023184106 = score(doc=2360,freq=32.0), product of:
0.05541559 = queryWeight, product of:
1.5777643 = idf(docFreq=24812, maxDocs=44218)
0.035122856 = queryNorm
0.41836792 = fieldWeight in 2360, product of:
5.656854 = tf(freq=32.0), with freq of:
32.0 = termFreq=32.0
1.5777643 = idf(docFreq=24812, maxDocs=44218)
0.046875 = fieldNorm(doc=2360)
0.013946345 = weight(_text_:of in 2360) [ClassicSimilarity], result of:
0.013946345 = score(doc=2360,freq=12.0), product of:
0.054923624 = queryWeight, product of:
1.5637573 = idf(docFreq=25162, maxDocs=44218)
0.035122856 = queryNorm
0.25392252 = fieldWeight in 2360, product of:
3.4641016 = tf(freq=12.0), with freq of:
12.0 = termFreq=12.0
1.5637573 = idf(docFreq=25162, maxDocs=44218)
0.046875 = fieldNorm(doc=2360)
0.023184106 = weight(_text_:the in 2360) [ClassicSimilarity], result of:
0.023184106 = score(doc=2360,freq=32.0), product of:
0.05541559 = queryWeight, product of:
1.5777643 = idf(docFreq=24812, maxDocs=44218)
0.035122856 = queryNorm
0.41836792 = fieldWeight in 2360, product of:
5.656854 = tf(freq=32.0), with freq of:
32.0 = termFreq=32.0
1.5777643 = idf(docFreq=24812, maxDocs=44218)
0.046875 = fieldNorm(doc=2360)
0.014275986 = product of:
0.028551972 = sum of:
0.028551972 = weight(_text_:22 in 2360) [ClassicSimilarity], result of:
0.028551972 = score(doc=2360,freq=2.0), product of:
0.12299426 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.035122856 = queryNorm
0.23214069 = fieldWeight in 2360, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.046875 = fieldNorm(doc=2360)
0.5 = coord(1/2)
0.5 = coord(6/12)
- Abstract
- This article reports the author's recent research in developing a holistic model for various levels of digital library (DL) evaluation in which perceived important criteria from heterogeneous stakeholder groups are organized and presented. To develop such a model, the author applied a three-stage research approach: exploration, confirmation, and verification. During the exploration stage, a literature review was conducted followed by an interview, along with a card sorting technique, to collect important criteria perceived by DL experts. Then the criteria identified were used for developing an online survey during the confirmation stage. Survey respondents (431 in total) from 22 countries rated the importance of the criteria. A holistic DL evaluation model was constructed using statistical techniques. Eventually, the verification stage was devised to test the reliability of the model in the context of searching and evaluating an operational DL. The proposed model fills two lacunae in the DL domain: (a) the lack of a comprehensive and flexible framework to guide and benchmark evaluations, and (b) the uncertainty about what divergence exists among heterogeneous DL stakeholders, including general users.
- Source
- Journal of the American Society for Information Science and Technology. 61(2010) no.1, S.88-110
-
Zhang, Y.; Liu, J.; Song, S.: ¬The design and evaluation of a nudge-based interface to facilitate consumers' evaluation of online health information credibility (2023)
0.05
0.04816403 = product of:
0.09632806 = sum of:
0.013370283 = weight(_text_:information in 993) [ClassicSimilarity], result of:
0.013370283 = score(doc=993,freq=10.0), product of:
0.0616574 = queryWeight, product of:
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.035122856 = queryNorm
0.21684799 = fieldWeight in 993, product of:
3.1622777 = tf(freq=10.0), with freq of:
10.0 = termFreq=10.0
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.0390625 = fieldNorm(doc=993)
0.01184691 = weight(_text_:for in 993) [ClassicSimilarity], result of:
0.01184691 = score(doc=993,freq=6.0), product of:
0.06594466 = queryWeight, product of:
1.8775425 = idf(docFreq=18385, maxDocs=44218)
0.035122856 = queryNorm
0.17964928 = fieldWeight in 993, product of:
2.4494898 = tf(freq=6.0), with freq of:
6.0 = termFreq=6.0
1.8775425 = idf(docFreq=18385, maxDocs=44218)
0.0390625 = fieldNorm(doc=993)
0.021053577 = weight(_text_:the in 993) [ClassicSimilarity], result of:
0.021053577 = score(doc=993,freq=38.0), product of:
0.05541559 = queryWeight, product of:
1.5777643 = idf(docFreq=24812, maxDocs=44218)
0.035122856 = queryNorm
0.37992156 = fieldWeight in 993, product of:
6.164414 = tf(freq=38.0), with freq of:
38.0 = termFreq=38.0
1.5777643 = idf(docFreq=24812, maxDocs=44218)
0.0390625 = fieldNorm(doc=993)
0.017107055 = weight(_text_:of in 993) [ClassicSimilarity], result of:
0.017107055 = score(doc=993,freq=26.0), product of:
0.054923624 = queryWeight, product of:
1.5637573 = idf(docFreq=25162, maxDocs=44218)
0.035122856 = queryNorm
0.31146988 = fieldWeight in 993, product of:
5.0990195 = tf(freq=26.0), with freq of:
26.0 = termFreq=26.0
1.5637573 = idf(docFreq=25162, maxDocs=44218)
0.0390625 = fieldNorm(doc=993)
0.021053577 = weight(_text_:the in 993) [ClassicSimilarity], result of:
0.021053577 = score(doc=993,freq=38.0), product of:
0.05541559 = queryWeight, product of:
1.5777643 = idf(docFreq=24812, maxDocs=44218)
0.035122856 = queryNorm
0.37992156 = fieldWeight in 993, product of:
6.164414 = tf(freq=38.0), with freq of:
38.0 = termFreq=38.0
1.5777643 = idf(docFreq=24812, maxDocs=44218)
0.0390625 = fieldNorm(doc=993)
0.011896656 = product of:
0.023793312 = sum of:
0.023793312 = weight(_text_:22 in 993) [ClassicSimilarity], result of:
0.023793312 = score(doc=993,freq=2.0), product of:
0.12299426 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.035122856 = queryNorm
0.19345059 = fieldWeight in 993, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.0390625 = fieldNorm(doc=993)
0.5 = coord(1/2)
0.5 = coord(6/12)
- Abstract
- Evaluating the quality of online health information (OHI) is a major challenge facing consumers. We designed PageGraph, an interface that displays quality indicators and associated values for a webpage, based on credibility evaluation models, the nudge theory, and existing empirical research concerning professionals' and consumers' evaluation of OHI quality. A qualitative evaluation of the interface with 16 participants revealed that PageGraph rendered the information and presentation nudges as intended. It provided the participants with easier access to quality indicators, encouraged fresh angles to assess information credibility, provided an evaluation framework, and encouraged validation of initial judgments. We then conducted a quantitative evaluation of the interface involving 60 participants using a between-subject experimental design. The control group used a regular web browser and evaluated the credibility of 12 preselected webpages, whereas the experimental group evaluated the same webpages with the assistance of PageGraph. PageGraph did not significantly influence participants' evaluation results. The results may be attributed to the insufficiency of the saliency and structure of the nudges implemented and the webpage stimuli's lack of sensitivity to the intervention. Future directions for applying nudges to support OHI evaluation were discussed.
- Date
- 22. 6.2023 18:18:34
- Source
- Journal of the Association for Information Science and Technology. 74(2023) no.7, S.828-845
-
Zhang, Y.; Jansen, B.J.; Spink, A.: Identification of factors predicting clickthrough in Web searching using neural network analysis (2009)
0.04
0.044678755 = product of:
0.08935751 = sum of:
0.007175247 = weight(_text_:information in 2742) [ClassicSimilarity], result of:
0.007175247 = score(doc=2742,freq=2.0), product of:
0.0616574 = queryWeight, product of:
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.035122856 = queryNorm
0.116372846 = fieldWeight in 2742, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.046875 = fieldNorm(doc=2742)
0.018353151 = weight(_text_:for in 2742) [ClassicSimilarity], result of:
0.018353151 = score(doc=2742,freq=10.0), product of:
0.06594466 = queryWeight, product of:
1.8775425 = idf(docFreq=18385, maxDocs=44218)
0.035122856 = queryNorm
0.27831143 = fieldWeight in 2742, product of:
3.1622777 = tf(freq=10.0), with freq of:
10.0 = termFreq=10.0
1.8775425 = idf(docFreq=18385, maxDocs=44218)
0.046875 = fieldNorm(doc=2742)
0.015334844 = weight(_text_:the in 2742) [ClassicSimilarity], result of:
0.015334844 = score(doc=2742,freq=14.0), product of:
0.05541559 = queryWeight, product of:
1.5777643 = idf(docFreq=24812, maxDocs=44218)
0.035122856 = queryNorm
0.27672437 = fieldWeight in 2742, product of:
3.7416575 = tf(freq=14.0), with freq of:
14.0 = termFreq=14.0
1.5777643 = idf(docFreq=24812, maxDocs=44218)
0.046875 = fieldNorm(doc=2742)
0.018883443 = weight(_text_:of in 2742) [ClassicSimilarity], result of:
0.018883443 = score(doc=2742,freq=22.0), product of:
0.054923624 = queryWeight, product of:
1.5637573 = idf(docFreq=25162, maxDocs=44218)
0.035122856 = queryNorm
0.34381276 = fieldWeight in 2742, product of:
4.690416 = tf(freq=22.0), with freq of:
22.0 = termFreq=22.0
1.5637573 = idf(docFreq=25162, maxDocs=44218)
0.046875 = fieldNorm(doc=2742)
0.015334844 = weight(_text_:the in 2742) [ClassicSimilarity], result of:
0.015334844 = score(doc=2742,freq=14.0), product of:
0.05541559 = queryWeight, product of:
1.5777643 = idf(docFreq=24812, maxDocs=44218)
0.035122856 = queryNorm
0.27672437 = fieldWeight in 2742, product of:
3.7416575 = tf(freq=14.0), with freq of:
14.0 = termFreq=14.0
1.5777643 = idf(docFreq=24812, maxDocs=44218)
0.046875 = fieldNorm(doc=2742)
0.014275986 = product of:
0.028551972 = sum of:
0.028551972 = weight(_text_:22 in 2742) [ClassicSimilarity], result of:
0.028551972 = score(doc=2742,freq=2.0), product of:
0.12299426 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.035122856 = queryNorm
0.23214069 = fieldWeight in 2742, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.046875 = fieldNorm(doc=2742)
0.5 = coord(1/2)
0.5 = coord(6/12)
- Abstract
- In this research, we aim to identify factors that significantly affect the clickthrough of Web searchers. Our underlying goal is determine more efficient methods to optimize the clickthrough rate. We devise a clickthrough metric for measuring customer satisfaction of search engine results using the number of links visited, number of queries a user submits, and rank of clicked links. We use a neural network to detect the significant influence of searching characteristics on future user clickthrough. Our results show that high occurrences of query reformulation, lengthy searching duration, longer query length, and the higher ranking of prior clicked links correlate positively with future clickthrough. We provide recommendations for leveraging these findings for improving the performance of search engine retrieval and result ranking, along with implications for search engine marketing.
- Date
- 22. 3.2009 17:49:11
- Source
- Journal of the American Society for Information Science and Technology. 60(2009) no.3, S.557-570
-
Dang, Y.; Zhang, Y.; Chen, H.; Hu, P.J.-H.; Brown, S.A.; Larson, C.: Arizona Literature Mapper : an integrated approach to monitor and analyze global bioterrorism research literature (2009)
0.04
0.042137634 = product of:
0.08427527 = sum of:
0.008456109 = weight(_text_:information in 2943) [ClassicSimilarity], result of:
0.008456109 = score(doc=2943,freq=4.0), product of:
0.0616574 = queryWeight, product of:
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.035122856 = queryNorm
0.13714671 = fieldWeight in 2943, product of:
2.0 = tf(freq=4.0), with freq of:
4.0 = termFreq=4.0
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.0390625 = fieldNorm(doc=2943)
0.015294294 = weight(_text_:for in 2943) [ClassicSimilarity], result of:
0.015294294 = score(doc=2943,freq=10.0), product of:
0.06594466 = queryWeight, product of:
1.8775425 = idf(docFreq=18385, maxDocs=44218)
0.035122856 = queryNorm
0.2319262 = fieldWeight in 2943, product of:
3.1622777 = tf(freq=10.0), with freq of:
10.0 = termFreq=10.0
1.8775425 = idf(docFreq=18385, maxDocs=44218)
0.0390625 = fieldNorm(doc=2943)
0.010800257 = weight(_text_:the in 2943) [ClassicSimilarity], result of:
0.010800257 = score(doc=2943,freq=10.0), product of:
0.05541559 = queryWeight, product of:
1.5777643 = idf(docFreq=24812, maxDocs=44218)
0.035122856 = queryNorm
0.19489565 = fieldWeight in 2943, product of:
3.1622777 = tf(freq=10.0), with freq of:
10.0 = termFreq=10.0
1.5777643 = idf(docFreq=24812, maxDocs=44218)
0.0390625 = fieldNorm(doc=2943)
0.011621956 = weight(_text_:of in 2943) [ClassicSimilarity], result of:
0.011621956 = score(doc=2943,freq=12.0), product of:
0.054923624 = queryWeight, product of:
1.5637573 = idf(docFreq=25162, maxDocs=44218)
0.035122856 = queryNorm
0.21160212 = fieldWeight in 2943, product of:
3.4641016 = tf(freq=12.0), with freq of:
12.0 = termFreq=12.0
1.5637573 = idf(docFreq=25162, maxDocs=44218)
0.0390625 = fieldNorm(doc=2943)
0.010800257 = weight(_text_:the in 2943) [ClassicSimilarity], result of:
0.010800257 = score(doc=2943,freq=10.0), product of:
0.05541559 = queryWeight, product of:
1.5777643 = idf(docFreq=24812, maxDocs=44218)
0.035122856 = queryNorm
0.19489565 = fieldWeight in 2943, product of:
3.1622777 = tf(freq=10.0), with freq of:
10.0 = termFreq=10.0
1.5777643 = idf(docFreq=24812, maxDocs=44218)
0.0390625 = fieldNorm(doc=2943)
0.027302396 = product of:
0.05460479 = sum of:
0.05460479 = weight(_text_:communities in 2943) [ClassicSimilarity], result of:
0.05460479 = score(doc=2943,freq=2.0), product of:
0.18632571 = queryWeight, product of:
5.3049703 = idf(docFreq=596, maxDocs=44218)
0.035122856 = queryNorm
0.29306096 = fieldWeight in 2943, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
5.3049703 = idf(docFreq=596, maxDocs=44218)
0.0390625 = fieldNorm(doc=2943)
0.5 = coord(1/2)
0.5 = coord(6/12)
- Abstract
- Biomedical research is critical to biodefense, which is drawing increasing attention from governments globally as well as from various research communities. The U.S. government has been closely monitoring and regulating biomedical research activities, particularly those studying or involving bioterrorism agents or diseases. Effective surveillance requires comprehensive understanding of extant biomedical research and timely detection of new developments or emerging trends. The rapid knowledge expansion, technical breakthroughs, and spiraling collaboration networks demand greater support for literature search and sharing, which cannot be effectively supported by conventional literature search mechanisms or systems. In this study, we propose an integrated approach that integrates advanced techniques for content analysis, network analysis, and information visualization. We design and implement Arizona Literature Mapper, a Web-based portal that allows users to gain timely, comprehensive understanding of bioterrorism research, including leading scientists, research groups, institutions as well as insights about current mainstream interests or emerging trends. We conduct two user studies to evaluate Arizona Literature Mapper and include a well-known system for benchmarking purposes. According to our results, Arizona Literature Mapper is significantly more effective for supporting users' search of bioterrorism publications than PubMed. Users consider Arizona Literature Mapper more useful and easier to use than PubMed. Users are also more satisfied with Arizona Literature Mapper and show stronger intentions to use it in the future. Assessments of Arizona Literature Mapper's analysis functions are also positive, as our subjects consider them useful, easy to use, and satisfactory. Our results have important implications that are also discussed in the article.
- Source
- Journal of the American Society for Information Science and Technology. 60(2009) no.7, S.1466-1485
-
Zhang, Y.; Wu, D.; Hagen, L.; Song, I.-Y.; Mostafa, J.; Oh, S.; Anderson, T.; Shah, C.; Bishop, B.W.; Hopfgartner, F.; Eckert, K.; Federer, L.; Saltz, J.S.: Data science curriculum in the iField (2023)
0.04
0.041930914 = product of:
0.08386183 = sum of:
0.010274758 = product of:
0.030824272 = sum of:
0.030824272 = weight(_text_:f in 964) [ClassicSimilarity], result of:
0.030824272 = score(doc=964,freq=2.0), product of:
0.13999219 = queryWeight, product of:
3.985786 = idf(docFreq=2232, maxDocs=44218)
0.035122856 = queryNorm
0.22018565 = fieldWeight in 964, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.985786 = idf(docFreq=2232, maxDocs=44218)
0.0390625 = fieldNorm(doc=964)
0.33333334 = coord(1/3)
0.008456109 = weight(_text_:information in 964) [ClassicSimilarity], result of:
0.008456109 = score(doc=964,freq=4.0), product of:
0.0616574 = queryWeight, product of:
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.035122856 = queryNorm
0.13714671 = fieldWeight in 964, product of:
2.0 = tf(freq=4.0), with freq of:
4.0 = termFreq=4.0
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.0390625 = fieldNorm(doc=964)
0.013679632 = weight(_text_:for in 964) [ClassicSimilarity], result of:
0.013679632 = score(doc=964,freq=8.0), product of:
0.06594466 = queryWeight, product of:
1.8775425 = idf(docFreq=18385, maxDocs=44218)
0.035122856 = queryNorm
0.20744109 = fieldWeight in 964, product of:
2.828427 = tf(freq=8.0), with freq of:
8.0 = termFreq=8.0
1.8775425 = idf(docFreq=18385, maxDocs=44218)
0.0390625 = fieldNorm(doc=964)
0.01991469 = weight(_text_:the in 964) [ClassicSimilarity], result of:
0.01991469 = score(doc=964,freq=34.0), product of:
0.05541559 = queryWeight, product of:
1.5777643 = idf(docFreq=24812, maxDocs=44218)
0.035122856 = queryNorm
0.3593698 = fieldWeight in 964, product of:
5.8309517 = tf(freq=34.0), with freq of:
34.0 = termFreq=34.0
1.5777643 = idf(docFreq=24812, maxDocs=44218)
0.0390625 = fieldNorm(doc=964)
0.011621956 = weight(_text_:of in 964) [ClassicSimilarity], result of:
0.011621956 = score(doc=964,freq=12.0), product of:
0.054923624 = queryWeight, product of:
1.5637573 = idf(docFreq=25162, maxDocs=44218)
0.035122856 = queryNorm
0.21160212 = fieldWeight in 964, product of:
3.4641016 = tf(freq=12.0), with freq of:
12.0 = termFreq=12.0
1.5637573 = idf(docFreq=25162, maxDocs=44218)
0.0390625 = fieldNorm(doc=964)
0.01991469 = weight(_text_:the in 964) [ClassicSimilarity], result of:
0.01991469 = score(doc=964,freq=34.0), product of:
0.05541559 = queryWeight, product of:
1.5777643 = idf(docFreq=24812, maxDocs=44218)
0.035122856 = queryNorm
0.3593698 = fieldWeight in 964, product of:
5.8309517 = tf(freq=34.0), with freq of:
34.0 = termFreq=34.0
1.5777643 = idf(docFreq=24812, maxDocs=44218)
0.0390625 = fieldNorm(doc=964)
0.5 = coord(6/12)
- Abstract
- Many disciplines, including the broad Field of Information (iField), offer Data Science (DS) programs. There have been significant efforts exploring an individual discipline's identity and unique contributions to the broader DS education landscape. To advance DS education in the iField, the iSchool Data Science Curriculum Committee (iDSCC) was formed and charged with building and recommending a DS education framework for iSchools. This paper reports on the research process and findings of a series of studies to address important questions: What is the iField identity in the multidisciplinary DS education landscape? What is the status of DS education in iField schools? What knowledge and skills should be included in the core curriculum for iField DS education? What are the jobs available for DS graduates from the iField? What are the differences between graduate-level and undergraduate-level DS education? Answers to these questions will not only distinguish an iField approach to DS education but also define critical components of DS curriculum. The results will inform individual DS programs in the iField to develop curriculum to support undergraduate and graduate DS education in their local context.
- Footnote
- Beitrag in einem Special issue on "Data Science in the iField".
- Source
- Journal of the Association for Information Science and Technology. 74(2023) no.6, S.641-662
-
Zhang, Y.: ¬The effect of open access on citation impact : a comparison study based on Web citation analysis (2006)
0.04
0.039427534 = product of:
0.094626084 = sum of:
0.013679632 = weight(_text_:for in 5071) [ClassicSimilarity], result of:
0.013679632 = score(doc=5071,freq=8.0), product of:
0.06594466 = queryWeight, product of:
1.8775425 = idf(docFreq=18385, maxDocs=44218)
0.035122856 = queryNorm
0.20744109 = fieldWeight in 5071, product of:
2.828427 = tf(freq=8.0), with freq of:
8.0 = termFreq=8.0
1.8775425 = idf(docFreq=18385, maxDocs=44218)
0.0390625 = fieldNorm(doc=5071)
0.019320088 = weight(_text_:the in 5071) [ClassicSimilarity], result of:
0.019320088 = score(doc=5071,freq=32.0), product of:
0.05541559 = queryWeight, product of:
1.5777643 = idf(docFreq=24812, maxDocs=44218)
0.035122856 = queryNorm
0.34863994 = fieldWeight in 5071, product of:
5.656854 = tf(freq=32.0), with freq of:
32.0 = termFreq=32.0
1.5777643 = idf(docFreq=24812, maxDocs=44218)
0.0390625 = fieldNorm(doc=5071)
0.015003879 = weight(_text_:of in 5071) [ClassicSimilarity], result of:
0.015003879 = score(doc=5071,freq=20.0), product of:
0.054923624 = queryWeight, product of:
1.5637573 = idf(docFreq=25162, maxDocs=44218)
0.035122856 = queryNorm
0.27317715 = fieldWeight in 5071, product of:
4.472136 = tf(freq=20.0), with freq of:
20.0 = termFreq=20.0
1.5637573 = idf(docFreq=25162, maxDocs=44218)
0.0390625 = fieldNorm(doc=5071)
0.019320088 = weight(_text_:the in 5071) [ClassicSimilarity], result of:
0.019320088 = score(doc=5071,freq=32.0), product of:
0.05541559 = queryWeight, product of:
1.5777643 = idf(docFreq=24812, maxDocs=44218)
0.035122856 = queryNorm
0.34863994 = fieldWeight in 5071, product of:
5.656854 = tf(freq=32.0), with freq of:
32.0 = termFreq=32.0
1.5777643 = idf(docFreq=24812, maxDocs=44218)
0.0390625 = fieldNorm(doc=5071)
0.027302396 = product of:
0.05460479 = sum of:
0.05460479 = weight(_text_:communities in 5071) [ClassicSimilarity], result of:
0.05460479 = score(doc=5071,freq=2.0), product of:
0.18632571 = queryWeight, product of:
5.3049703 = idf(docFreq=596, maxDocs=44218)
0.035122856 = queryNorm
0.29306096 = fieldWeight in 5071, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
5.3049703 = idf(docFreq=596, maxDocs=44218)
0.0390625 = fieldNorm(doc=5071)
0.5 = coord(1/2)
0.41666666 = coord(5/12)
- Abstract
- The academic impact advantage of Open Access (OA) is a prominent topic of debate in the library and publishing communities. Web citations have been proposed as comparable to, even replacements for, bibliographic citations in assessing the academic impact of journals. In our study, we compare Web citations to articles in an OA journal, the Journal of Computer-Mediated Communication (JCMC), and a traditional access journal, New Media & Society (NMS), in the communication discipline. Web citation counts for JCMC are significantly higher than those for NMS. Furthermore, JCMC receives significantly higher Web citations from the formal scholarly publications posted on the Web than NMS does. The types of Web citations for journal articles were also examined. In the Web context, the impact of a journal can be assessed using more than one type of source: citations from scholarly articles, teaching materials and non-authoritative documents. The OA journal has higher percentages of citations from the third type, which suggests that, in addition to the research community, the impact advantage of open access is also detectable among ordinary users participating in Web-based academic communication. Moreover, our study also proves that the OA journal has impact advantage in developing countries. Compared with NMS, JCMC has more Web citations from developing countries.
-
Zhang, Y.; Wu, M.; Zhang, G.; Lu, J.: Stepping beyond your comfort zone : diffusion-based network analytics for knowledge trajectory recommendation (2023)
0.04
0.03765028 = product of:
0.07530056 = sum of:
0.008456109 = weight(_text_:information in 994) [ClassicSimilarity], result of:
0.008456109 = score(doc=994,freq=4.0), product of:
0.0616574 = queryWeight, product of:
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.035122856 = queryNorm
0.13714671 = fieldWeight in 994, product of:
2.0 = tf(freq=4.0), with freq of:
4.0 = termFreq=4.0
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.0390625 = fieldNorm(doc=994)
0.01184691 = weight(_text_:for in 994) [ClassicSimilarity], result of:
0.01184691 = score(doc=994,freq=6.0), product of:
0.06594466 = queryWeight, product of:
1.8775425 = idf(docFreq=18385, maxDocs=44218)
0.035122856 = queryNorm
0.17964928 = fieldWeight in 994, product of:
2.4494898 = tf(freq=6.0), with freq of:
6.0 = termFreq=6.0
1.8775425 = idf(docFreq=18385, maxDocs=44218)
0.0390625 = fieldNorm(doc=994)
0.01527387 = weight(_text_:the in 994) [ClassicSimilarity], result of:
0.01527387 = score(doc=994,freq=20.0), product of:
0.05541559 = queryWeight, product of:
1.5777643 = idf(docFreq=24812, maxDocs=44218)
0.035122856 = queryNorm
0.27562407 = fieldWeight in 994, product of:
4.472136 = tf(freq=20.0), with freq of:
20.0 = termFreq=20.0
1.5777643 = idf(docFreq=24812, maxDocs=44218)
0.0390625 = fieldNorm(doc=994)
0.012553146 = weight(_text_:of in 994) [ClassicSimilarity], result of:
0.012553146 = score(doc=994,freq=14.0), product of:
0.054923624 = queryWeight, product of:
1.5637573 = idf(docFreq=25162, maxDocs=44218)
0.035122856 = queryNorm
0.22855641 = fieldWeight in 994, product of:
3.7416575 = tf(freq=14.0), with freq of:
14.0 = termFreq=14.0
1.5637573 = idf(docFreq=25162, maxDocs=44218)
0.0390625 = fieldNorm(doc=994)
0.01527387 = weight(_text_:the in 994) [ClassicSimilarity], result of:
0.01527387 = score(doc=994,freq=20.0), product of:
0.05541559 = queryWeight, product of:
1.5777643 = idf(docFreq=24812, maxDocs=44218)
0.035122856 = queryNorm
0.27562407 = fieldWeight in 994, product of:
4.472136 = tf(freq=20.0), with freq of:
20.0 = termFreq=20.0
1.5777643 = idf(docFreq=24812, maxDocs=44218)
0.0390625 = fieldNorm(doc=994)
0.011896656 = product of:
0.023793312 = sum of:
0.023793312 = weight(_text_:22 in 994) [ClassicSimilarity], result of:
0.023793312 = score(doc=994,freq=2.0), product of:
0.12299426 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.035122856 = queryNorm
0.19345059 = fieldWeight in 994, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.0390625 = fieldNorm(doc=994)
0.5 = coord(1/2)
0.5 = coord(6/12)
- Abstract
- Predicting a researcher's knowledge trajectories beyond their current foci can leverage potential inter-/cross-/multi-disciplinary interactions to achieve exploratory innovation. In this study, we present a method of diffusion-based network analytics for knowledge trajectory recommendation. The method begins by constructing a heterogeneous bibliometric network consisting of a co-topic layer and a co-authorship layer. A novel link prediction approach with a diffusion strategy is then used to capture the interactions between social elements (e.g., collaboration) and knowledge elements (e.g., technological similarity) in the process of exploratory innovation. This diffusion strategy differentiates the interactions occurring among homogeneous and heterogeneous nodes in the heterogeneous bibliometric network and weights the strengths of these interactions. Two sets of experiments-one with a local dataset and the other with a global dataset-demonstrate that the proposed method is prior to 10 selected baselines in link prediction, recommender systems, and upstream graph representation learning. A case study recommending knowledge trajectories of information scientists with topical hierarchy and explainable mediators reveals the proposed method's reliability and potential practical uses in broad scenarios.
- Date
- 22. 6.2023 18:07:12
- Source
- Journal of the Association for Information Science and Technology. 74(2023) no.7, S.775-790
-
Zhang, Y.: Beyond quality and accessibility : source selection in consumer health information searching (2014)
0.04
0.03680127 = product of:
0.08832306 = sum of:
0.019831333 = weight(_text_:information in 1252) [ClassicSimilarity], result of:
0.019831333 = score(doc=1252,freq=22.0), product of:
0.0616574 = queryWeight, product of:
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.035122856 = queryNorm
0.32163754 = fieldWeight in 1252, product of:
4.690416 = tf(freq=22.0), with freq of:
22.0 = termFreq=22.0
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.0390625 = fieldNorm(doc=1252)
0.01934592 = weight(_text_:for in 1252) [ClassicSimilarity], result of:
0.01934592 = score(doc=1252,freq=16.0), product of:
0.06594466 = queryWeight, product of:
1.8775425 = idf(docFreq=18385, maxDocs=44218)
0.035122856 = queryNorm
0.29336601 = fieldWeight in 1252, product of:
4.0 = tf(freq=16.0), with freq of:
16.0 = termFreq=16.0
1.8775425 = idf(docFreq=18385, maxDocs=44218)
0.0390625 = fieldNorm(doc=1252)
0.016019372 = weight(_text_:the in 1252) [ClassicSimilarity], result of:
0.016019372 = score(doc=1252,freq=22.0), product of:
0.05541559 = queryWeight, product of:
1.5777643 = idf(docFreq=24812, maxDocs=44218)
0.035122856 = queryNorm
0.28907698 = fieldWeight in 1252, product of:
4.690416 = tf(freq=22.0), with freq of:
22.0 = termFreq=22.0
1.5777643 = idf(docFreq=24812, maxDocs=44218)
0.0390625 = fieldNorm(doc=1252)
0.017107055 = weight(_text_:of in 1252) [ClassicSimilarity], result of:
0.017107055 = score(doc=1252,freq=26.0), product of:
0.054923624 = queryWeight, product of:
1.5637573 = idf(docFreq=25162, maxDocs=44218)
0.035122856 = queryNorm
0.31146988 = fieldWeight in 1252, product of:
5.0990195 = tf(freq=26.0), with freq of:
26.0 = termFreq=26.0
1.5637573 = idf(docFreq=25162, maxDocs=44218)
0.0390625 = fieldNorm(doc=1252)
0.016019372 = weight(_text_:the in 1252) [ClassicSimilarity], result of:
0.016019372 = score(doc=1252,freq=22.0), product of:
0.05541559 = queryWeight, product of:
1.5777643 = idf(docFreq=24812, maxDocs=44218)
0.035122856 = queryNorm
0.28907698 = fieldWeight in 1252, product of:
4.690416 = tf(freq=22.0), with freq of:
22.0 = termFreq=22.0
1.5777643 = idf(docFreq=24812, maxDocs=44218)
0.0390625 = fieldNorm(doc=1252)
0.41666666 = coord(5/12)
- Abstract
- A systematic understanding of factors and criteria that affect consumers' selection of sources for health information is necessary for the design of effective health information services and information systems. However, current studies have overly focused on source attributes as indicators for 2 criteria, source quality and accessibility, and overlooked the role of other factors and criteria that help determine source selection. To fill this gap, guided by decision-making theories and the cognitive perspective to information search, we interviewed 30 participants about their reasons for using a wide range of sources for health information. Additionally, we asked each of them to report a critical incident in which sources were selected to fulfill a specific information need. Based on the analysis of the transcripts, 5 categories of factors were identified as influential to source selection: source-related factors, user-related factors, user-source relationships, characteristics of the problematic situation, and social influences. In addition, about a dozen criteria that mediate the influence of the factors on source-selection decisions were identified, including accessibility, quality, usability, interactivity, relevance, usefulness, familiarity, affection, anonymity, and appropriateness. These results significantly expanded the current understanding of the nature of costs and benefits involved in source-selection decisions, and strongly indicated that a personalized approach is needed for information services and information systems to provide effective access to health information sources for consumers.
- Source
- Journal of the Association for Information Science and Technology. 65(2014) no.5, S.911-927
-
Zhang, Y.; Sun, Y.; Xie, B.: Quality of health information for consumers on the web : a systematic review of indicators, criteria, tools, and evaluation results (2015)
0.04
0.036755662 = product of:
0.08821359 = sum of:
0.015819931 = weight(_text_:information in 2218) [ClassicSimilarity], result of:
0.015819931 = score(doc=2218,freq=14.0), product of:
0.0616574 = queryWeight, product of:
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.035122856 = queryNorm
0.256578 = fieldWeight in 2218, product of:
3.7416575 = tf(freq=14.0), with freq of:
14.0 = termFreq=14.0
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.0390625 = fieldNorm(doc=2218)
0.01184691 = weight(_text_:for in 2218) [ClassicSimilarity], result of:
0.01184691 = score(doc=2218,freq=6.0), product of:
0.06594466 = queryWeight, product of:
1.8775425 = idf(docFreq=18385, maxDocs=44218)
0.035122856 = queryNorm
0.17964928 = fieldWeight in 2218, product of:
2.4494898 = tf(freq=6.0), with freq of:
6.0 = termFreq=6.0
1.8775425 = idf(docFreq=18385, maxDocs=44218)
0.0390625 = fieldNorm(doc=2218)
0.020492045 = weight(_text_:the in 2218) [ClassicSimilarity], result of:
0.020492045 = score(doc=2218,freq=36.0), product of:
0.05541559 = queryWeight, product of:
1.5777643 = idf(docFreq=24812, maxDocs=44218)
0.035122856 = queryNorm
0.36978847 = fieldWeight in 2218, product of:
6.0 = tf(freq=36.0), with freq of:
36.0 = termFreq=36.0
1.5777643 = idf(docFreq=24812, maxDocs=44218)
0.0390625 = fieldNorm(doc=2218)
0.019562665 = weight(_text_:of in 2218) [ClassicSimilarity], result of:
0.019562665 = score(doc=2218,freq=34.0), product of:
0.054923624 = queryWeight, product of:
1.5637573 = idf(docFreq=25162, maxDocs=44218)
0.035122856 = queryNorm
0.35617945 = fieldWeight in 2218, product of:
5.8309517 = tf(freq=34.0), with freq of:
34.0 = termFreq=34.0
1.5637573 = idf(docFreq=25162, maxDocs=44218)
0.0390625 = fieldNorm(doc=2218)
0.020492045 = weight(_text_:the in 2218) [ClassicSimilarity], result of:
0.020492045 = score(doc=2218,freq=36.0), product of:
0.05541559 = queryWeight, product of:
1.5777643 = idf(docFreq=24812, maxDocs=44218)
0.035122856 = queryNorm
0.36978847 = fieldWeight in 2218, product of:
6.0 = tf(freq=36.0), with freq of:
36.0 = termFreq=36.0
1.5777643 = idf(docFreq=24812, maxDocs=44218)
0.0390625 = fieldNorm(doc=2218)
0.41666666 = coord(5/12)
- Abstract
- The quality of online health information for consumers has been a critical issue that concerns all stakeholders in healthcare. To gain an understanding of how quality is evaluated, this systematic review examined 165 articles in which researchers evaluated the quality of consumer-oriented health information on the web against predefined criteria. It was found that studies typically evaluated quality in relation to the substance and formality of content, as well as to the design of technological platforms. Attention to design, particularly interactivity, privacy, and social and cultural appropriateness is on the rise, which suggests the permeation of a user-centered perspective into the evaluation of health information systems, and a growing recognition of the need to study these systems from a social-technical perspective. Researchers used many preexisting instruments to facilitate evaluation of the formality of content; however, only a few were used in multiple studies, and their validity was questioned. The quality of content (i.e., accuracy and completeness) was always evaluated using proprietary instruments constructed based on medical guidelines or textbooks. The evaluation results revealed that the quality of health information varied across medical domains and across websites, and that the overall quality remained problematic. Future research is needed to examine the quality of user-generated content and to explore opportunities offered by emerging new media that can facilitate the consumer evaluation of health information.
- Source
- Journal of the Association for Information Science and Technology. 66(2015) no.10, S.2071-2084
-
Zhang, Y.: Toward a layered model of context for health information searching : an analysis of consumer-generated questions (2013)
0.04
0.0362791 = product of:
0.08706985 = sum of:
0.015819931 = weight(_text_:information in 953) [ClassicSimilarity], result of:
0.015819931 = score(doc=953,freq=14.0), product of:
0.0616574 = queryWeight, product of:
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.035122856 = queryNorm
0.256578 = fieldWeight in 953, product of:
3.7416575 = tf(freq=14.0), with freq of:
14.0 = termFreq=14.0
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.0390625 = fieldNorm(doc=953)
0.00967296 = weight(_text_:for in 953) [ClassicSimilarity], result of:
0.00967296 = score(doc=953,freq=4.0), product of:
0.06594466 = queryWeight, product of:
1.8775425 = idf(docFreq=18385, maxDocs=44218)
0.035122856 = queryNorm
0.14668301 = fieldWeight in 953, product of:
2.0 = tf(freq=4.0), with freq of:
4.0 = termFreq=4.0
1.8775425 = idf(docFreq=18385, maxDocs=44218)
0.0390625 = fieldNorm(doc=953)
0.021600515 = weight(_text_:the in 953) [ClassicSimilarity], result of:
0.021600515 = score(doc=953,freq=40.0), product of:
0.05541559 = queryWeight, product of:
1.5777643 = idf(docFreq=24812, maxDocs=44218)
0.035122856 = queryNorm
0.3897913 = fieldWeight in 953, product of:
6.3245554 = tf(freq=40.0), with freq of:
40.0 = termFreq=40.0
1.5777643 = idf(docFreq=24812, maxDocs=44218)
0.0390625 = fieldNorm(doc=953)
0.018375926 = weight(_text_:of in 953) [ClassicSimilarity], result of:
0.018375926 = score(doc=953,freq=30.0), product of:
0.054923624 = queryWeight, product of:
1.5637573 = idf(docFreq=25162, maxDocs=44218)
0.035122856 = queryNorm
0.33457235 = fieldWeight in 953, product of:
5.477226 = tf(freq=30.0), with freq of:
30.0 = termFreq=30.0
1.5637573 = idf(docFreq=25162, maxDocs=44218)
0.0390625 = fieldNorm(doc=953)
0.021600515 = weight(_text_:the in 953) [ClassicSimilarity], result of:
0.021600515 = score(doc=953,freq=40.0), product of:
0.05541559 = queryWeight, product of:
1.5777643 = idf(docFreq=24812, maxDocs=44218)
0.035122856 = queryNorm
0.3897913 = fieldWeight in 953, product of:
6.3245554 = tf(freq=40.0), with freq of:
40.0 = termFreq=40.0
1.5777643 = idf(docFreq=24812, maxDocs=44218)
0.0390625 = fieldNorm(doc=953)
0.41666666 = coord(5/12)
- Abstract
- Designing effective consumer health information systems requires deep understanding of the context in which the systems are being used. However, due to the elusive nature of the concept of context, few studies have made it a focus of examination. To fill this gap, we studied the context of consumer health information searching by analyzing questions posted on a social question and answer site: Yahoo! Answers. Based on the analysis, a model of context was developed. The model consists of 5 layers: demographic, cognitive, affective, situational, and social and environmental. The demographic layer contains demographic factors of the person of concern; the cognitive layer contains factors related to the current search task (specifically, topics of interest and information goals) and users' cognitive ability to articulate their needs. The affective layer contains different affective motivations and intentions behind the search. The situational layer contains users' perceptions of the current health condition and where the person is in the illness trajectory. The social and environmental layer contains users' social roles, social norms, and various information channels. Several novel system functions, including faceted search and layered presentation of results, are proposed based on the model to help contextualize and improve users' interactions with health information systems.
- Source
- Journal of the American Society for Information Science and Technology. 64(2013) no.6, S.1158-1172
-
Zhang, Y.; Xu, W.: Fast exact maximum likelihood estimation for mixture of language model (2008)
0.03
0.034888092 = product of:
0.08373143 = sum of:
0.010147331 = weight(_text_:information in 2082) [ClassicSimilarity], result of:
0.010147331 = score(doc=2082,freq=4.0), product of:
0.0616574 = queryWeight, product of:
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.035122856 = queryNorm
0.16457605 = fieldWeight in 2082, product of:
2.0 = tf(freq=4.0), with freq of:
4.0 = termFreq=4.0
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.046875 = fieldNorm(doc=2082)
0.011607553 = weight(_text_:for in 2082) [ClassicSimilarity], result of:
0.011607553 = score(doc=2082,freq=4.0), product of:
0.06594466 = queryWeight, product of:
1.8775425 = idf(docFreq=18385, maxDocs=44218)
0.035122856 = queryNorm
0.17601961 = fieldWeight in 2082, product of:
2.0 = tf(freq=4.0), with freq of:
4.0 = termFreq=4.0
1.8775425 = idf(docFreq=18385, maxDocs=44218)
0.046875 = fieldNorm(doc=2082)
0.022447916 = weight(_text_:the in 2082) [ClassicSimilarity], result of:
0.022447916 = score(doc=2082,freq=30.0), product of:
0.05541559 = queryWeight, product of:
1.5777643 = idf(docFreq=24812, maxDocs=44218)
0.035122856 = queryNorm
0.40508303 = fieldWeight in 2082, product of:
5.477226 = tf(freq=30.0), with freq of:
30.0 = termFreq=30.0
1.5777643 = idf(docFreq=24812, maxDocs=44218)
0.046875 = fieldNorm(doc=2082)
0.017080715 = weight(_text_:of in 2082) [ClassicSimilarity], result of:
0.017080715 = score(doc=2082,freq=18.0), product of:
0.054923624 = queryWeight, product of:
1.5637573 = idf(docFreq=25162, maxDocs=44218)
0.035122856 = queryNorm
0.3109903 = fieldWeight in 2082, product of:
4.2426405 = tf(freq=18.0), with freq of:
18.0 = termFreq=18.0
1.5637573 = idf(docFreq=25162, maxDocs=44218)
0.046875 = fieldNorm(doc=2082)
0.022447916 = weight(_text_:the in 2082) [ClassicSimilarity], result of:
0.022447916 = score(doc=2082,freq=30.0), product of:
0.05541559 = queryWeight, product of:
1.5777643 = idf(docFreq=24812, maxDocs=44218)
0.035122856 = queryNorm
0.40508303 = fieldWeight in 2082, product of:
5.477226 = tf(freq=30.0), with freq of:
30.0 = termFreq=30.0
1.5777643 = idf(docFreq=24812, maxDocs=44218)
0.046875 = fieldNorm(doc=2082)
0.41666666 = coord(5/12)
- Abstract
- Language modeling is an effective and theoretically attractive probabilistic framework for text information retrieval. The basic idea of this approach is to estimate a language model of a given document (or document set), and then do retrieval or classification based on this model. A common language modeling approach assumes the data D is generated from a mixture of several language models. The core problem is to find the maximum likelihood estimation of one language model mixture, given the fixed mixture weights and the other language model mixture. The EM algorithm is usually used to find the solution. In this paper, we proof that an exact maximum likelihood estimation of the unknown mixture component exists and can be calculated using the new algorithm we proposed. We further improve the algorithm and provide an efficient algorithm of O(k) complexity to find the exact solution, where k is the number of words occurring at least once in data D. Furthermore, we proof the probabilities of many words are exactly zeros, and the MLE estimation is implemented as a feature selection technique explicitly.
- Source
- Information processing and management. 44(2008) no.3, S.1076-1085
-
Zhang, Y.: Using the Internet for survey research : a case study (2000)
0.03
0.034572635 = product of:
0.08297432 = sum of:
0.009566996 = weight(_text_:information in 4294) [ClassicSimilarity], result of:
0.009566996 = score(doc=4294,freq=2.0), product of:
0.0616574 = queryWeight, product of:
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.035122856 = queryNorm
0.1551638 = fieldWeight in 4294, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.0625 = fieldNorm(doc=4294)
0.018955056 = weight(_text_:for in 4294) [ClassicSimilarity], result of:
0.018955056 = score(doc=4294,freq=6.0), product of:
0.06594466 = queryWeight, product of:
1.8775425 = idf(docFreq=18385, maxDocs=44218)
0.035122856 = queryNorm
0.28743884 = fieldWeight in 4294, product of:
2.4494898 = tf(freq=6.0), with freq of:
6.0 = termFreq=6.0
1.8775425 = idf(docFreq=18385, maxDocs=44218)
0.0625 = fieldNorm(doc=4294)
0.021858184 = weight(_text_:the in 4294) [ClassicSimilarity], result of:
0.021858184 = score(doc=4294,freq=16.0), product of:
0.05541559 = queryWeight, product of:
1.5777643 = idf(docFreq=24812, maxDocs=44218)
0.035122856 = queryNorm
0.39444107 = fieldWeight in 4294, product of:
4.0 = tf(freq=16.0), with freq of:
16.0 = termFreq=16.0
1.5777643 = idf(docFreq=24812, maxDocs=44218)
0.0625 = fieldNorm(doc=4294)
0.010735902 = weight(_text_:of in 4294) [ClassicSimilarity], result of:
0.010735902 = score(doc=4294,freq=4.0), product of:
0.054923624 = queryWeight, product of:
1.5637573 = idf(docFreq=25162, maxDocs=44218)
0.035122856 = queryNorm
0.19546966 = fieldWeight in 4294, product of:
2.0 = tf(freq=4.0), with freq of:
4.0 = termFreq=4.0
1.5637573 = idf(docFreq=25162, maxDocs=44218)
0.0625 = fieldNorm(doc=4294)
0.021858184 = weight(_text_:the in 4294) [ClassicSimilarity], result of:
0.021858184 = score(doc=4294,freq=16.0), product of:
0.05541559 = queryWeight, product of:
1.5777643 = idf(docFreq=24812, maxDocs=44218)
0.035122856 = queryNorm
0.39444107 = fieldWeight in 4294, product of:
4.0 = tf(freq=16.0), with freq of:
16.0 = termFreq=16.0
1.5777643 = idf(docFreq=24812, maxDocs=44218)
0.0625 = fieldNorm(doc=4294)
0.41666666 = coord(5/12)
- Abstract
- The Internet provides opportunities to conduct surveys more efficiently and effectively than traditional means. This article reviews previous studies that use the Internet for survey research. It discusses the methodological issues and problems associated with this nes approach. By presenting a case study, it seeks possible solutions to some of the problems, and explores the potential the Internet can offer to survey researchers
- Source
- Journal of the American Society for Information Science. 51(2000) no.1, S.57-68
-
Zhang, Y.: Dimensions and elements of people's mental models of an information-rich Web space (2010)
0.03
0.033934318 = product of:
0.08144236 = sum of:
0.013370283 = weight(_text_:information in 4098) [ClassicSimilarity], result of:
0.013370283 = score(doc=4098,freq=10.0), product of:
0.0616574 = queryWeight, product of:
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.035122856 = queryNorm
0.21684799 = fieldWeight in 4098, product of:
3.1622777 = tf(freq=10.0), with freq of:
10.0 = termFreq=10.0
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.0390625 = fieldNorm(doc=4098)
0.013679632 = weight(_text_:for in 4098) [ClassicSimilarity], result of:
0.013679632 = score(doc=4098,freq=8.0), product of:
0.06594466 = queryWeight, product of:
1.8775425 = idf(docFreq=18385, maxDocs=44218)
0.035122856 = queryNorm
0.20744109 = fieldWeight in 4098, product of:
2.828427 = tf(freq=8.0), with freq of:
8.0 = termFreq=8.0
1.8775425 = idf(docFreq=18385, maxDocs=44218)
0.0390625 = fieldNorm(doc=4098)
0.017414892 = weight(_text_:the in 4098) [ClassicSimilarity], result of:
0.017414892 = score(doc=4098,freq=26.0), product of:
0.05541559 = queryWeight, product of:
1.5777643 = idf(docFreq=24812, maxDocs=44218)
0.035122856 = queryNorm
0.3142598 = fieldWeight in 4098, product of:
5.0990195 = tf(freq=26.0), with freq of:
26.0 = termFreq=26.0
1.5777643 = idf(docFreq=24812, maxDocs=44218)
0.0390625 = fieldNorm(doc=4098)
0.019562665 = weight(_text_:of in 4098) [ClassicSimilarity], result of:
0.019562665 = score(doc=4098,freq=34.0), product of:
0.054923624 = queryWeight, product of:
1.5637573 = idf(docFreq=25162, maxDocs=44218)
0.035122856 = queryNorm
0.35617945 = fieldWeight in 4098, product of:
5.8309517 = tf(freq=34.0), with freq of:
34.0 = termFreq=34.0
1.5637573 = idf(docFreq=25162, maxDocs=44218)
0.0390625 = fieldNorm(doc=4098)
0.017414892 = weight(_text_:the in 4098) [ClassicSimilarity], result of:
0.017414892 = score(doc=4098,freq=26.0), product of:
0.05541559 = queryWeight, product of:
1.5777643 = idf(docFreq=24812, maxDocs=44218)
0.035122856 = queryNorm
0.3142598 = fieldWeight in 4098, product of:
5.0990195 = tf(freq=26.0), with freq of:
26.0 = termFreq=26.0
1.5777643 = idf(docFreq=24812, maxDocs=44218)
0.0390625 = fieldNorm(doc=4098)
0.41666666 = coord(5/12)
- Abstract
- Although considered proxies for people to interact with a system, mental models have produced limited practical implications for system design. This might be due to the lack of exploration of the elements of mental models resulting from the methodological challenge of measuring mental models. This study employed a new method, concept listing, to elicit people's mental models of an information-rich space, MedlinePlus, after they interacted with the system for 5 minutes. Thirty-eight undergraduate students participated in the study. The results showed that, in this short period of time, participants perceived MedlinePlus from many different aspects in relation to four components: the system as a whole, its content, information organization, and interface. Meanwhile, participants expressed evaluations of or emotions about the four components. In terms of the procedural knowledge, an integral part of people's mental models, only one participant identified a strategy more aligned to the capabilities of MedlinePlus to solve a hypothetical task; the rest planned to use general search and browse strategies. The composition of participants' mental models of MedlinePlus was consistent with that of their models of information-rich Web spaces in general.
- Source
- Journal of the American Society for Information Science and Technology. 61(2010) no.11, S.2206-2218
-
Ku, Y.; Chiu, C.; Zhang, Y.; Chen, H.; Su, H.: Text mining self-disclosing health information for public health service (2014)
0.03
0.033319697 = product of:
0.079967275 = sum of:
0.016044341 = weight(_text_:information in 1262) [ClassicSimilarity], result of:
0.016044341 = score(doc=1262,freq=10.0), product of:
0.0616574 = queryWeight, product of:
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.035122856 = queryNorm
0.2602176 = fieldWeight in 1262, product of:
3.1622777 = tf(freq=10.0), with freq of:
10.0 = termFreq=10.0
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.046875 = fieldNorm(doc=1262)
0.016415559 = weight(_text_:for in 1262) [ClassicSimilarity], result of:
0.016415559 = score(doc=1262,freq=8.0), product of:
0.06594466 = queryWeight, product of:
1.8775425 = idf(docFreq=18385, maxDocs=44218)
0.035122856 = queryNorm
0.24892932 = fieldWeight in 1262, product of:
2.828427 = tf(freq=8.0), with freq of:
8.0 = termFreq=8.0
1.8775425 = idf(docFreq=18385, maxDocs=44218)
0.046875 = fieldNorm(doc=1262)
0.01738808 = weight(_text_:the in 1262) [ClassicSimilarity], result of:
0.01738808 = score(doc=1262,freq=18.0), product of:
0.05541559 = queryWeight, product of:
1.5777643 = idf(docFreq=24812, maxDocs=44218)
0.035122856 = queryNorm
0.31377596 = fieldWeight in 1262, product of:
4.2426405 = tf(freq=18.0), with freq of:
18.0 = termFreq=18.0
1.5777643 = idf(docFreq=24812, maxDocs=44218)
0.046875 = fieldNorm(doc=1262)
0.012731214 = weight(_text_:of in 1262) [ClassicSimilarity], result of:
0.012731214 = score(doc=1262,freq=10.0), product of:
0.054923624 = queryWeight, product of:
1.5637573 = idf(docFreq=25162, maxDocs=44218)
0.035122856 = queryNorm
0.23179851 = fieldWeight in 1262, product of:
3.1622777 = tf(freq=10.0), with freq of:
10.0 = termFreq=10.0
1.5637573 = idf(docFreq=25162, maxDocs=44218)
0.046875 = fieldNorm(doc=1262)
0.01738808 = weight(_text_:the in 1262) [ClassicSimilarity], result of:
0.01738808 = score(doc=1262,freq=18.0), product of:
0.05541559 = queryWeight, product of:
1.5777643 = idf(docFreq=24812, maxDocs=44218)
0.035122856 = queryNorm
0.31377596 = fieldWeight in 1262, product of:
4.2426405 = tf(freq=18.0), with freq of:
18.0 = termFreq=18.0
1.5777643 = idf(docFreq=24812, maxDocs=44218)
0.046875 = fieldNorm(doc=1262)
0.41666666 = coord(5/12)
- Abstract
- Understanding specific patterns or knowledge of self-disclosing health information could support public health surveillance and healthcare. This study aimed to develop an analytical framework to identify self-disclosing health information with unusual messages on web forums by leveraging advanced text-mining techniques. To demonstrate the performance of the proposed analytical framework, we conducted an experimental study on 2 major human immunodeficiency virus (HIV)/acquired immune deficiency syndrome (AIDS) forums in Taiwan. The experimental results show that the classification accuracy increased significantly (up to 83.83%) when using features selected by the information gain technique. The results also show the importance of adopting domain-specific features in analyzing unusual messages on web forums. This study has practical implications for the prevention and support of HIV/AIDS healthcare. For example, public health agencies can re-allocate resources and deliver services to people who need help via social media sites. In addition, individuals can also join a social media site to get better suggestions and support from each other.
- Source
- Journal of the Association for Information Science and Technology. 65(2014) no.5, S.928-947
-
Zhang, Y.; Zhang, C.; Li, J.: Joint modeling of characters, words, and conversation contexts for microblog keyphrase extraction (2020)
0.03
0.032887816 = product of:
0.078930765 = sum of:
0.005979372 = weight(_text_:information in 5816) [ClassicSimilarity], result of:
0.005979372 = score(doc=5816,freq=2.0), product of:
0.0616574 = queryWeight, product of:
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.035122856 = queryNorm
0.09697737 = fieldWeight in 5816, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.0390625 = fieldNorm(doc=5816)
0.013679632 = weight(_text_:for in 5816) [ClassicSimilarity], result of:
0.013679632 = score(doc=5816,freq=8.0), product of:
0.06594466 = queryWeight, product of:
1.8775425 = idf(docFreq=18385, maxDocs=44218)
0.035122856 = queryNorm
0.20744109 = fieldWeight in 5816, product of:
2.828427 = tf(freq=8.0), with freq of:
8.0 = termFreq=8.0
1.8775425 = idf(docFreq=18385, maxDocs=44218)
0.0390625 = fieldNorm(doc=5816)
0.02213394 = weight(_text_:the in 5816) [ClassicSimilarity], result of:
0.02213394 = score(doc=5816,freq=42.0), product of:
0.05541559 = queryWeight, product of:
1.5777643 = idf(docFreq=24812, maxDocs=44218)
0.035122856 = queryNorm
0.39941722 = fieldWeight in 5816, product of:
6.4807405 = tf(freq=42.0), with freq of:
42.0 = termFreq=42.0
1.5777643 = idf(docFreq=24812, maxDocs=44218)
0.0390625 = fieldNorm(doc=5816)
0.015003879 = weight(_text_:of in 5816) [ClassicSimilarity], result of:
0.015003879 = score(doc=5816,freq=20.0), product of:
0.054923624 = queryWeight, product of:
1.5637573 = idf(docFreq=25162, maxDocs=44218)
0.035122856 = queryNorm
0.27317715 = fieldWeight in 5816, product of:
4.472136 = tf(freq=20.0), with freq of:
20.0 = termFreq=20.0
1.5637573 = idf(docFreq=25162, maxDocs=44218)
0.0390625 = fieldNorm(doc=5816)
0.02213394 = weight(_text_:the in 5816) [ClassicSimilarity], result of:
0.02213394 = score(doc=5816,freq=42.0), product of:
0.05541559 = queryWeight, product of:
1.5777643 = idf(docFreq=24812, maxDocs=44218)
0.035122856 = queryNorm
0.39941722 = fieldWeight in 5816, product of:
6.4807405 = tf(freq=42.0), with freq of:
42.0 = termFreq=42.0
1.5777643 = idf(docFreq=24812, maxDocs=44218)
0.0390625 = fieldNorm(doc=5816)
0.41666666 = coord(5/12)
- Abstract
- Millions of messages are produced on microblog platforms every day, leading to the pressing need for automatic identification of key points from the massive texts. To absorb salient content from the vast bulk of microblog posts, this article focuses on the task of microblog keyphrase extraction. In previous work, most efforts treat messages as independent documents and might suffer from the data sparsity problem exhibited in short and informal microblog posts. On the contrary, we propose to enrich contexts via exploiting conversations initialized by target posts and formed by their replies, which are generally centered around relevant topics to the target posts and therefore helpful for keyphrase identification. Concretely, we present a neural keyphrase extraction framework, which has 2 modules: a conversation context encoder and a keyphrase tagger. The conversation context encoder captures indicative representation from their conversation contexts and feeds the representation into the keyphrase tagger, and the keyphrase tagger extracts salient words from target posts. The 2 modules were trained jointly to optimize the conversation context encoding and keyphrase extraction processes. In the conversation context encoder, we leverage hierarchical structures to capture the word-level indicative representation and message-level indicative representation hierarchically. In both of the modules, we apply character-level representations, which enables the model to explore morphological features and deal with the out-of-vocabulary problem caused by the informal language style of microblog messages. Extensive comparison results on real-life data sets indicate that our model outperforms state-of-the-art models from previous studies.
- Source
- Journal of the Association for Information Science and Technology. 71(2020) no.5, S.553-567
-
Zhang, Y.: ¬The impact of Internet-based electronic resources on formal scholarly communication in the area of library and information science : a citation analysis (1998)
0.03
0.03268612 = product of:
0.07844669 = sum of:
0.010356578 = weight(_text_:information in 2808) [ClassicSimilarity], result of:
0.010356578 = score(doc=2808,freq=6.0), product of:
0.0616574 = queryWeight, product of:
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.035122856 = queryNorm
0.16796975 = fieldWeight in 2808, product of:
2.4494898 = tf(freq=6.0), with freq of:
6.0 = termFreq=6.0
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.0390625 = fieldNorm(doc=2808)
0.017414892 = weight(_text_:the in 2808) [ClassicSimilarity], result of:
0.017414892 = score(doc=2808,freq=26.0), product of:
0.05541559 = queryWeight, product of:
1.5777643 = idf(docFreq=24812, maxDocs=44218)
0.035122856 = queryNorm
0.3142598 = fieldWeight in 2808, product of:
5.0990195 = tf(freq=26.0), with freq of:
26.0 = termFreq=26.0
1.5777643 = idf(docFreq=24812, maxDocs=44218)
0.0390625 = fieldNorm(doc=2808)
0.016435927 = weight(_text_:of in 2808) [ClassicSimilarity], result of:
0.016435927 = score(doc=2808,freq=24.0), product of:
0.054923624 = queryWeight, product of:
1.5637573 = idf(docFreq=25162, maxDocs=44218)
0.035122856 = queryNorm
0.2992506 = fieldWeight in 2808, product of:
4.8989797 = tf(freq=24.0), with freq of:
24.0 = termFreq=24.0
1.5637573 = idf(docFreq=25162, maxDocs=44218)
0.0390625 = fieldNorm(doc=2808)
0.017414892 = weight(_text_:the in 2808) [ClassicSimilarity], result of:
0.017414892 = score(doc=2808,freq=26.0), product of:
0.05541559 = queryWeight, product of:
1.5777643 = idf(docFreq=24812, maxDocs=44218)
0.035122856 = queryNorm
0.3142598 = fieldWeight in 2808, product of:
5.0990195 = tf(freq=26.0), with freq of:
26.0 = termFreq=26.0
1.5777643 = idf(docFreq=24812, maxDocs=44218)
0.0390625 = fieldNorm(doc=2808)
0.016824411 = product of:
0.033648822 = sum of:
0.033648822 = weight(_text_:22 in 2808) [ClassicSimilarity], result of:
0.033648822 = score(doc=2808,freq=4.0), product of:
0.12299426 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.035122856 = queryNorm
0.27358043 = fieldWeight in 2808, product of:
2.0 = tf(freq=4.0), with freq of:
4.0 = termFreq=4.0
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.0390625 = fieldNorm(doc=2808)
0.5 = coord(1/2)
0.41666666 = coord(5/12)
- Abstract
- Internet based electronic resources are growing dramatically but there have been no empirical studies evaluating the impact of e-sources, as a whole, on formal scholarly communication. reports results of an investigation into how much e-sources have been used in formal scholarly communication, using a case study in the area of Library and Information Science (LIS) during the period 1994 to 1996. 4 citation based indicators were used in the study of the impact measurement. Concludes that, compared with the impact of print sources, the impact of e-sources on formal scholarly communication in LIS is small, as measured by e-sources cited, and does not increase significantly by year even though there is observable growth of these impact across the years. It is found that periodical format is related to the rate of citing e-sources, articles are more likely to cite e-sources than are print priodical articles. However, once authors cite electronic resource, there is no significant difference in the number of references per article by periodical format or by year. Suggests that, at this stage, citing e-sources may depend on authors rather than the periodical format in which authors choose to publish
- Date
- 30. 1.1999 17:22:22
- Source
- Journal of information science. 24(1998) no.4, S.241-254
-
Zhang, Y.; Broussard, R.; Ke, W.; Gong, X.: Evaluation of a scatter/gather interface for supporting distinct health information search tasks (2014)
0.03
0.032566544 = product of:
0.078159705 = sum of:
0.014646411 = weight(_text_:information in 1261) [ClassicSimilarity], result of:
0.014646411 = score(doc=1261,freq=12.0), product of:
0.0616574 = queryWeight, product of:
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.035122856 = queryNorm
0.23754507 = fieldWeight in 1261, product of:
3.4641016 = tf(freq=12.0), with freq of:
12.0 = termFreq=12.0
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.0390625 = fieldNorm(doc=1261)
0.013679632 = weight(_text_:for in 1261) [ClassicSimilarity], result of:
0.013679632 = score(doc=1261,freq=8.0), product of:
0.06594466 = queryWeight, product of:
1.8775425 = idf(docFreq=18385, maxDocs=44218)
0.035122856 = queryNorm
0.20744109 = fieldWeight in 1261, product of:
2.828427 = tf(freq=8.0), with freq of:
8.0 = termFreq=8.0
1.8775425 = idf(docFreq=18385, maxDocs=44218)
0.0390625 = fieldNorm(doc=1261)
0.017414892 = weight(_text_:the in 1261) [ClassicSimilarity], result of:
0.017414892 = score(doc=1261,freq=26.0), product of:
0.05541559 = queryWeight, product of:
1.5777643 = idf(docFreq=24812, maxDocs=44218)
0.035122856 = queryNorm
0.3142598 = fieldWeight in 1261, product of:
5.0990195 = tf(freq=26.0), with freq of:
26.0 = termFreq=26.0
1.5777643 = idf(docFreq=24812, maxDocs=44218)
0.0390625 = fieldNorm(doc=1261)
0.015003879 = weight(_text_:of in 1261) [ClassicSimilarity], result of:
0.015003879 = score(doc=1261,freq=20.0), product of:
0.054923624 = queryWeight, product of:
1.5637573 = idf(docFreq=25162, maxDocs=44218)
0.035122856 = queryNorm
0.27317715 = fieldWeight in 1261, product of:
4.472136 = tf(freq=20.0), with freq of:
20.0 = termFreq=20.0
1.5637573 = idf(docFreq=25162, maxDocs=44218)
0.0390625 = fieldNorm(doc=1261)
0.017414892 = weight(_text_:the in 1261) [ClassicSimilarity], result of:
0.017414892 = score(doc=1261,freq=26.0), product of:
0.05541559 = queryWeight, product of:
1.5777643 = idf(docFreq=24812, maxDocs=44218)
0.035122856 = queryNorm
0.3142598 = fieldWeight in 1261, product of:
5.0990195 = tf(freq=26.0), with freq of:
26.0 = termFreq=26.0
1.5777643 = idf(docFreq=24812, maxDocs=44218)
0.0390625 = fieldNorm(doc=1261)
0.41666666 = coord(5/12)
- Abstract
- Web search engines are important gateways for users to access health information. This study explored whether a search interface based on the Bing API and enabled by Scatter/Gather, a well-known document-clustering technique, can improve health information searches. Forty participants without medical backgrounds were randomly assigned to two interfaces: a baseline interface that resembles typical web search engines and a Scatter/Gather interface. Both groups performed two lookup and two exploratory health-related tasks. It was found that the baseline group was more likely to rephrase queries and less likely to access general-purpose sites than the Scatter/Gather group when completing exploratory tasks. Otherwise, the two groups did not differ in behavior and task performance, with participants in the Scatter/Gather group largely overlooking the features (key words, clusters, and the recluster function) designed to facilitate the exploration of semantic relationships between information objects, a potentially useful means for users in the rather unfamiliar domain of health. The results suggest a strong effect of users' mental models of search on their use of search interfaces and a high cognitive cost associated with using the Scatter/Gather features. It follows that novel features of a search interface should not only be compatible with users' mental models but also provide sufficient affordance to inform users of how they can be used. Compared with the interface, tasks showed more significant impacts on search behavior. In future studies, more effort should be devoted to identify salient features of health-related information needs.
- Source
- Journal of the Association for Information Science and Technology. 65(2014) no.5, S.1028-1041
-
Zhang, Y.: Undergraduate students' mental models of the Web as an information retrieval system (2008)
0.03
0.031610604 = product of:
0.075865455 = sum of:
0.015819931 = weight(_text_:information in 2385) [ClassicSimilarity], result of:
0.015819931 = score(doc=2385,freq=14.0), product of:
0.0616574 = queryWeight, product of:
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.035122856 = queryNorm
0.256578 = fieldWeight in 2385, product of:
3.7416575 = tf(freq=14.0), with freq of:
14.0 = termFreq=14.0
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.0390625 = fieldNorm(doc=2385)
0.006839816 = weight(_text_:for in 2385) [ClassicSimilarity], result of:
0.006839816 = score(doc=2385,freq=2.0), product of:
0.06594466 = queryWeight, product of:
1.8775425 = idf(docFreq=18385, maxDocs=44218)
0.035122856 = queryNorm
0.103720546 = fieldWeight in 2385, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
1.8775425 = idf(docFreq=18385, maxDocs=44218)
0.0390625 = fieldNorm(doc=2385)
0.017414892 = weight(_text_:the in 2385) [ClassicSimilarity], result of:
0.017414892 = score(doc=2385,freq=26.0), product of:
0.05541559 = queryWeight, product of:
1.5777643 = idf(docFreq=24812, maxDocs=44218)
0.035122856 = queryNorm
0.3142598 = fieldWeight in 2385, product of:
5.0990195 = tf(freq=26.0), with freq of:
26.0 = termFreq=26.0
1.5777643 = idf(docFreq=24812, maxDocs=44218)
0.0390625 = fieldNorm(doc=2385)
0.018375926 = weight(_text_:of in 2385) [ClassicSimilarity], result of:
0.018375926 = score(doc=2385,freq=30.0), product of:
0.054923624 = queryWeight, product of:
1.5637573 = idf(docFreq=25162, maxDocs=44218)
0.035122856 = queryNorm
0.33457235 = fieldWeight in 2385, product of:
5.477226 = tf(freq=30.0), with freq of:
30.0 = termFreq=30.0
1.5637573 = idf(docFreq=25162, maxDocs=44218)
0.0390625 = fieldNorm(doc=2385)
0.017414892 = weight(_text_:the in 2385) [ClassicSimilarity], result of:
0.017414892 = score(doc=2385,freq=26.0), product of:
0.05541559 = queryWeight, product of:
1.5777643 = idf(docFreq=24812, maxDocs=44218)
0.035122856 = queryNorm
0.3142598 = fieldWeight in 2385, product of:
5.0990195 = tf(freq=26.0), with freq of:
26.0 = termFreq=26.0
1.5777643 = idf(docFreq=24812, maxDocs=44218)
0.0390625 = fieldNorm(doc=2385)
0.41666666 = coord(5/12)
- Abstract
- This study explored undergraduate students' mental models of the Web as an information retrieval system. Mental models play an important role in people's interaction with information systems. Better understanding of people's mental models could inspire better interface design and user instruction. Multiple data-collection methods, including questionnaire, semistructured interview, drawing, and participant observation, were used to elicit students' mental models of the Web from different perspectives, though only data from interviews and drawing descriptions are reported in this article. Content analysis of the transcripts showed that students had utilitarian rather than structural mental models of the Web. The majority of participants saw the Web as a huge information resource where everything can be found rather than an infrastructure consisting of hardware and computer applications. Students had different mental models of how information is organized on the Web, and the models varied in correctness and complexity. Students' mental models of search on the Web were illustrated from three points of view: avenues of getting information, understanding of search engines' working mechanisms, and search tactics. The research results suggest that there are mainly three sources contributing to the construction of mental models: personal observation, communication with others, and class instruction. In addition to structural and functional aspects, mental models have an emotional dimension.
- Source
- Journal of the American Society for Information Science and Technology. 59(2008) no.13, S.2087-2098
-
Zhang, Y.; Ren, P.; Rijke, M. de: ¬A taxonomy, data set, and benchmark for detecting and classifying malevolent dialogue responses (2021)
0.03
0.031455368 = product of:
0.07549289 = sum of:
0.010147331 = weight(_text_:information in 356) [ClassicSimilarity], result of:
0.010147331 = score(doc=356,freq=4.0), product of:
0.0616574 = queryWeight, product of:
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.035122856 = queryNorm
0.16457605 = fieldWeight in 356, product of:
2.0 = tf(freq=4.0), with freq of:
4.0 = termFreq=4.0
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.046875 = fieldNorm(doc=356)
0.011607553 = weight(_text_:for in 356) [ClassicSimilarity], result of:
0.011607553 = score(doc=356,freq=4.0), product of:
0.06594466 = queryWeight, product of:
1.8775425 = idf(docFreq=18385, maxDocs=44218)
0.035122856 = queryNorm
0.17601961 = fieldWeight in 356, product of:
2.0 = tf(freq=4.0), with freq of:
4.0 = termFreq=4.0
1.8775425 = idf(docFreq=18385, maxDocs=44218)
0.046875 = fieldNorm(doc=356)
0.018328644 = weight(_text_:the in 356) [ClassicSimilarity], result of:
0.018328644 = score(doc=356,freq=20.0), product of:
0.05541559 = queryWeight, product of:
1.5777643 = idf(docFreq=24812, maxDocs=44218)
0.035122856 = queryNorm
0.3307489 = fieldWeight in 356, product of:
4.472136 = tf(freq=20.0), with freq of:
20.0 = termFreq=20.0
1.5777643 = idf(docFreq=24812, maxDocs=44218)
0.046875 = fieldNorm(doc=356)
0.017080715 = weight(_text_:of in 356) [ClassicSimilarity], result of:
0.017080715 = score(doc=356,freq=18.0), product of:
0.054923624 = queryWeight, product of:
1.5637573 = idf(docFreq=25162, maxDocs=44218)
0.035122856 = queryNorm
0.3109903 = fieldWeight in 356, product of:
4.2426405 = tf(freq=18.0), with freq of:
18.0 = termFreq=18.0
1.5637573 = idf(docFreq=25162, maxDocs=44218)
0.046875 = fieldNorm(doc=356)
0.018328644 = weight(_text_:the in 356) [ClassicSimilarity], result of:
0.018328644 = score(doc=356,freq=20.0), product of:
0.05541559 = queryWeight, product of:
1.5777643 = idf(docFreq=24812, maxDocs=44218)
0.035122856 = queryNorm
0.3307489 = fieldWeight in 356, product of:
4.472136 = tf(freq=20.0), with freq of:
20.0 = termFreq=20.0
1.5777643 = idf(docFreq=24812, maxDocs=44218)
0.046875 = fieldNorm(doc=356)
0.41666666 = coord(5/12)
- Abstract
- Conversational interfaces are increasingly popular as a way of connecting people to information. With the increased generative capacity of corpus-based conversational agents comes the need to classify and filter out malevolent responses that are inappropriate in terms of content and dialogue acts. Previous studies on the topic of detecting and classifying inappropriate content are mostly focused on a specific category of malevolence or on single sentences instead of an entire dialogue. We make three contributions to advance research on the malevolent dialogue response detection and classification (MDRDC) task. First, we define the task and present a hierarchical malevolent dialogue taxonomy. Second, we create a labeled multiturn dialogue data set and formulate the MDRDC task as a hierarchical classification task. Last, we apply state-of-the-art text classification methods to the MDRDC task, and report on experiments aimed at assessing the performance of these approaches.
- Source
- Journal of the Association for Information Science and Technology. 72(2021) no.12, S.1477-1497
