-
Zhang, Y.; Jansen, B.J.; Spink, A.: Identification of factors predicting clickthrough in Web searching using neural network analysis (2009)
0.07
0.069583856 = product of:
0.13916771 = sum of:
0.13916771 = sum of:
0.097140536 = weight(_text_:searching in 2742) [ClassicSimilarity], result of:
0.097140536 = score(doc=2742,freq=6.0), product of:
0.2091384 = queryWeight, product of:
4.0452914 = idf(docFreq=2103, maxDocs=44218)
0.051699217 = queryNorm
0.46447968 = fieldWeight in 2742, product of:
2.4494898 = tf(freq=6.0), with freq of:
6.0 = termFreq=6.0
4.0452914 = idf(docFreq=2103, maxDocs=44218)
0.046875 = fieldNorm(doc=2742)
0.04202718 = weight(_text_:22 in 2742) [ClassicSimilarity], result of:
0.04202718 = score(doc=2742,freq=2.0), product of:
0.18104185 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.051699217 = 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)
- 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
-
Zhang, Y.: Developing a holistic model for digital library evaluation (2010)
0.05
0.049055643 = product of:
0.09811129 = sum of:
0.09811129 = sum of:
0.05608411 = weight(_text_:searching in 2360) [ClassicSimilarity], result of:
0.05608411 = score(doc=2360,freq=2.0), product of:
0.2091384 = queryWeight, product of:
4.0452914 = idf(docFreq=2103, maxDocs=44218)
0.051699217 = queryNorm
0.26816747 = fieldWeight in 2360, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
4.0452914 = idf(docFreq=2103, maxDocs=44218)
0.046875 = fieldNorm(doc=2360)
0.04202718 = weight(_text_:22 in 2360) [ClassicSimilarity], result of:
0.04202718 = score(doc=2360,freq=2.0), product of:
0.18104185 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.051699217 = 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)
- 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.
-
Chung, W.; Zhang, Y.; Huang, Z.; Wang, G.; Ong, T.-H.; Chen, H.: Internet searching and browsing in a multilingual world : an experiment an the Chinese Business Intelligence Portal (CBizPort) (2004)
0.03
0.028620303 = product of:
0.057240605 = sum of:
0.057240605 = product of:
0.11448121 = sum of:
0.11448121 = weight(_text_:searching in 2393) [ClassicSimilarity], result of:
0.11448121 = score(doc=2393,freq=12.0), product of:
0.2091384 = queryWeight, product of:
4.0452914 = idf(docFreq=2103, maxDocs=44218)
0.051699217 = queryNorm
0.5473945 = fieldWeight in 2393, product of:
3.4641016 = tf(freq=12.0), with freq of:
12.0 = termFreq=12.0
4.0452914 = idf(docFreq=2103, maxDocs=44218)
0.0390625 = fieldNorm(doc=2393)
0.5 = coord(1/2)
0.5 = coord(1/2)
- Abstract
- The rapid growth of the non-English-speaking Internet population has created a need for better searching and browsing capabilities in languages other than English. However, existing search engines may not serve the needs of many non-English-speaking Internet users. In this paper, we propose a generic and integrated approach to searching and browsing the Internet in a multilingual world. Based an this approach, we have developed the Chinese Business Intelligence Portal (CBizPort), a meta-search engine that searches for business information of mainland China, Taiwan, and Hong Kong. Additional functions provided by CBizPort include encoding conversion (between Simplified Chinese and Traditional Chinese), summarization, and categorization. Experimental results of our user evaluation study show that the searching and browsing performance of CBizPort was comparable to that of regional Chinese search engines, and CBizPort could significantly augment these search engines. Subjects' verbal comments indicate that CBizPort performed best in terms of analysis functions, cross-regional searching, and user-friendliness, whereas regional search engines were more efficient and more popular. Subjects especially liked CBizPort's summarizer and categorizer, which helped in understanding search results. These encouraging results suggest a promising future of our approach to Internet searching and browsing in a multilingual world.
-
Zhang, Y.: ¬The influence of mental models on undergraduate students' searching behavior on the Web (2008)
0.02
0.024285134 = product of:
0.048570268 = sum of:
0.048570268 = product of:
0.097140536 = sum of:
0.097140536 = weight(_text_:searching in 2097) [ClassicSimilarity], result of:
0.097140536 = score(doc=2097,freq=6.0), product of:
0.2091384 = queryWeight, product of:
4.0452914 = idf(docFreq=2103, maxDocs=44218)
0.051699217 = queryNorm
0.46447968 = fieldWeight in 2097, product of:
2.4494898 = tf(freq=6.0), with freq of:
6.0 = termFreq=6.0
4.0452914 = idf(docFreq=2103, maxDocs=44218)
0.046875 = fieldNorm(doc=2097)
0.5 = coord(1/2)
0.5 = coord(1/2)
- Abstract
- This article explores the effects of undergraduate students' mental models of the Web on their online searching behavior. Forty-four undergraduate students, mainly freshmen and sophomores, participated in the study. Subjects' mental models of the Web were treated as equally good styles and operationalized as drawings of their perceptions about the Web. Four types of mental models of the Web were identified based on the drawings and the associated descriptions: technical view, functional view, process view, and connection view. In the study, subjects were required to finish two search tasks. Searching behavior was measured from four aspects: navigation and performance, subjects' feelings about tasks and their own performances, query construction, and search patterns. The four mental model groups showed different navigation and querying behaviors, but the differences were not significant. Subjects' satisfaction with their own performances was found to be significantly correlated with the time to complete the task. The results also showed that the familiarity of the task to subjects had a major effect on their ways to start interaction, query construction, and search patterns.
-
Zhang, Y.: Toward a layered model of context for health information searching : an analysis of consumer-generated questions (2013)
0.02
0.01652394 = product of:
0.03304788 = sum of:
0.03304788 = product of:
0.06609576 = sum of:
0.06609576 = weight(_text_:searching in 953) [ClassicSimilarity], result of:
0.06609576 = score(doc=953,freq=4.0), product of:
0.2091384 = queryWeight, product of:
4.0452914 = idf(docFreq=2103, maxDocs=44218)
0.051699217 = queryNorm
0.3160384 = fieldWeight in 953, product of:
2.0 = tf(freq=4.0), with freq of:
4.0 = termFreq=4.0
4.0452914 = idf(docFreq=2103, maxDocs=44218)
0.0390625 = fieldNorm(doc=953)
0.5 = coord(1/2)
0.5 = coord(1/2)
- 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.
-
Chen, H.; Zhang, Y.; Houston, A.L.: Semantic indexing and searching using a Hopfield net (1998)
0.01
0.014021028 = product of:
0.028042056 = sum of:
0.028042056 = product of:
0.05608411 = sum of:
0.05608411 = weight(_text_:searching in 5704) [ClassicSimilarity], result of:
0.05608411 = score(doc=5704,freq=2.0), product of:
0.2091384 = queryWeight, product of:
4.0452914 = idf(docFreq=2103, maxDocs=44218)
0.051699217 = queryNorm
0.26816747 = fieldWeight in 5704, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
4.0452914 = idf(docFreq=2103, maxDocs=44218)
0.046875 = fieldNorm(doc=5704)
0.5 = coord(1/2)
0.5 = coord(1/2)
-
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)
0.01
0.012382377 = product of:
0.024764754 = sum of:
0.024764754 = product of:
0.049529508 = sum of:
0.049529508 = weight(_text_:22 in 2808) [ClassicSimilarity], result of:
0.049529508 = score(doc=2808,freq=4.0), product of:
0.18104185 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.051699217 = 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)
0.5 = coord(1/2)
- Date
- 30. 1.1999 17:22:22
-
Zhang, Y.: Searching for specific health-related information in MedlinePlus : behavioral patterns and user experience (2014)
0.01
0.01168419 = product of:
0.02336838 = sum of:
0.02336838 = product of:
0.04673676 = sum of:
0.04673676 = weight(_text_:searching in 1180) [ClassicSimilarity], result of:
0.04673676 = score(doc=1180,freq=2.0), product of:
0.2091384 = queryWeight, product of:
4.0452914 = idf(docFreq=2103, maxDocs=44218)
0.051699217 = queryNorm
0.22347288 = fieldWeight in 1180, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
4.0452914 = idf(docFreq=2103, maxDocs=44218)
0.0390625 = fieldNorm(doc=1180)
0.5 = coord(1/2)
0.5 = coord(1/2)
-
Zhang, Y.: Beyond quality and accessibility : source selection in consumer health information searching (2014)
0.01
0.01168419 = product of:
0.02336838 = sum of:
0.02336838 = product of:
0.04673676 = sum of:
0.04673676 = weight(_text_:searching in 1252) [ClassicSimilarity], result of:
0.04673676 = score(doc=1252,freq=2.0), product of:
0.2091384 = queryWeight, product of:
4.0452914 = idf(docFreq=2103, maxDocs=44218)
0.051699217 = queryNorm
0.22347288 = fieldWeight in 1252, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
4.0452914 = idf(docFreq=2103, maxDocs=44218)
0.0390625 = fieldNorm(doc=1252)
0.5 = coord(1/2)
0.5 = coord(1/2)
-
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)
0.01
0.008755663 = product of:
0.017511327 = sum of:
0.017511327 = product of:
0.035022654 = sum of:
0.035022654 = weight(_text_:22 in 993) [ClassicSimilarity], result of:
0.035022654 = score(doc=993,freq=2.0), product of:
0.18104185 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.051699217 = 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(1/2)
- Date
- 22. 6.2023 18:18:34
-
Zhang, Y.; Wu, M.; Zhang, G.; Lu, J.: Stepping beyond your comfort zone : diffusion-based network analytics for knowledge trajectory recommendation (2023)
0.01
0.008755663 = product of:
0.017511327 = sum of:
0.017511327 = product of:
0.035022654 = sum of:
0.035022654 = weight(_text_:22 in 994) [ClassicSimilarity], result of:
0.035022654 = score(doc=994,freq=2.0), product of:
0.18104185 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.051699217 = 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(1/2)
- Date
- 22. 6.2023 18:07:12
