-
Huvila, I.: Affective capitalism of knowing and the society of search engine (2016)
0.06
0.06117424 = product of:
0.09176136 = sum of:
0.01058886 = weight(_text_:information in 3246) [ClassicSimilarity], result of:
0.01058886 = score(doc=3246,freq=2.0), product of:
0.09099081 = queryWeight, product of:
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.0518325 = queryNorm
0.116372846 = fieldWeight in 3246, 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=3246)
0.081172496 = sum of:
0.039036963 = weight(_text_:management in 3246) [ClassicSimilarity], result of:
0.039036963 = score(doc=3246,freq=2.0), product of:
0.17470726 = queryWeight, product of:
3.3706124 = idf(docFreq=4130, maxDocs=44218)
0.0518325 = queryNorm
0.22344214 = fieldWeight in 3246, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.3706124 = idf(docFreq=4130, maxDocs=44218)
0.046875 = fieldNorm(doc=3246)
0.04213553 = weight(_text_:22 in 3246) [ClassicSimilarity], result of:
0.04213553 = score(doc=3246,freq=2.0), product of:
0.18150859 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.0518325 = queryNorm
0.23214069 = fieldWeight in 3246, 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=3246)
0.6666667 = coord(2/3)
- Date
- 20. 1.2015 18:30:22
- Source
- Aslib journal of information management. 68(2016) no.5, S.566-588
-
Chaudiron, S.; Ihadjadene, M.: Studying Web search engines from a user perspective : key concepts and main approaches (2012)
0.06
0.059505444 = product of:
0.089258164 = sum of:
0.02161442 = weight(_text_:information in 109) [ClassicSimilarity], result of:
0.02161442 = score(doc=109,freq=12.0), product of:
0.09099081 = queryWeight, product of:
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.0518325 = queryNorm
0.23754507 = fieldWeight in 109, 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=109)
0.06764375 = sum of:
0.032530803 = weight(_text_:management in 109) [ClassicSimilarity], result of:
0.032530803 = score(doc=109,freq=2.0), product of:
0.17470726 = queryWeight, product of:
3.3706124 = idf(docFreq=4130, maxDocs=44218)
0.0518325 = queryNorm
0.18620178 = fieldWeight in 109, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.3706124 = idf(docFreq=4130, maxDocs=44218)
0.0390625 = fieldNorm(doc=109)
0.035112944 = weight(_text_:22 in 109) [ClassicSimilarity], result of:
0.035112944 = score(doc=109,freq=2.0), product of:
0.18150859 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.0518325 = queryNorm
0.19345059 = fieldWeight in 109, 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=109)
0.6666667 = coord(2/3)
- Abstract
- This chapter shows that the wider use of Web search engines, reconsidering the theoretical and methodological frameworks to grasp new information practices. Beginning with an overview of the recent challenges implied by the dynamic nature of the Web, this chapter then traces the information behavior related concepts in order to present the different approaches from the user perspective. The authors pay special attention to the concept of "information practice" and other related concepts such as "use", "activity", and "behavior" largely used in the literature but not always strictly defined. The authors provide an overview of user-oriented studies that are meaningful to understand the different contexts of use of electronic information access systems, focusing on five approaches: the system-oriented approaches, the theories of information seeking, the cognitive and psychological approaches, the management science approaches, and the marketing approaches. Future directions of work are then shaped, including social searching and the ethical, cultural, and political dimensions of Web search engines. The authors conclude considering the importance of Critical theory to better understand the role of Web Search engines in our modern society.
- Date
- 20. 4.2012 13:22:37
- Source
- Next generation search engines: advanced models for information retrieval. Eds.: C. Jouis, u.a
-
Sachse, J.: ¬The influence of snippet length on user behavior in mobile web search (2019)
0.06
0.05528497 = product of:
0.08292745 = sum of:
0.015283704 = weight(_text_:information in 5493) [ClassicSimilarity], result of:
0.015283704 = score(doc=5493,freq=6.0), product of:
0.09099081 = queryWeight, product of:
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.0518325 = queryNorm
0.16796975 = fieldWeight in 5493, 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=5493)
0.06764375 = sum of:
0.032530803 = weight(_text_:management in 5493) [ClassicSimilarity], result of:
0.032530803 = score(doc=5493,freq=2.0), product of:
0.17470726 = queryWeight, product of:
3.3706124 = idf(docFreq=4130, maxDocs=44218)
0.0518325 = queryNorm
0.18620178 = fieldWeight in 5493, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.3706124 = idf(docFreq=4130, maxDocs=44218)
0.0390625 = fieldNorm(doc=5493)
0.035112944 = weight(_text_:22 in 5493) [ClassicSimilarity], result of:
0.035112944 = score(doc=5493,freq=2.0), product of:
0.18150859 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.0518325 = queryNorm
0.19345059 = fieldWeight in 5493, 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=5493)
0.6666667 = coord(2/3)
- Abstract
- Purpose Web search is more and more moving into mobile contexts. However, screen size of mobile devices is limited and search engine result pages face a trade-off between offering informative snippets and optimal use of space. One factor clearly influencing this trade-off is snippet length. The purpose of this paper is to find out what snippet size to use in mobile web search. Design/methodology/approach For this purpose, an eye-tracking experiment was conducted showing participants search interfaces with snippets of one, three or five lines on a mobile device to analyze 17 dependent variables. In total, 31 participants took part in the study. Each of the participants solved informational and navigational tasks. Findings Results indicate a strong influence of page fold on scrolling behavior and attention distribution across search results. Regardless of query type, short snippets seem to provide too little information about the result, so that search performance and subjective measures are negatively affected. Long snippets of five lines lead to better performance than medium snippets for navigational queries, but to worse performance for informational queries. Originality/value Although space in mobile search is limited, this study shows that longer snippets improve usability and user experience. It further emphasizes that page fold plays a stronger role in mobile than in desktop search for attention distribution.
- Date
- 20. 1.2015 18:30:22
- Footnote
- Beitag in einem Special Issue: Information Science in the German-speaking Countries
- Source
- Aslib journal of information management. 71(2019) no.3, S.325-343
-
Lewandowski, D.; Sünkler, S.: What does Google recommend when you want to compare insurance offerings? (2019)
0.05
0.053415224 = product of:
0.080122836 = sum of:
0.01247909 = weight(_text_:information in 5288) [ClassicSimilarity], result of:
0.01247909 = score(doc=5288,freq=4.0), product of:
0.09099081 = queryWeight, product of:
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.0518325 = queryNorm
0.13714671 = fieldWeight in 5288, 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=5288)
0.06764375 = sum of:
0.032530803 = weight(_text_:management in 5288) [ClassicSimilarity], result of:
0.032530803 = score(doc=5288,freq=2.0), product of:
0.17470726 = queryWeight, product of:
3.3706124 = idf(docFreq=4130, maxDocs=44218)
0.0518325 = queryNorm
0.18620178 = fieldWeight in 5288, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.3706124 = idf(docFreq=4130, maxDocs=44218)
0.0390625 = fieldNorm(doc=5288)
0.035112944 = weight(_text_:22 in 5288) [ClassicSimilarity], result of:
0.035112944 = score(doc=5288,freq=2.0), product of:
0.18150859 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.0518325 = queryNorm
0.19345059 = fieldWeight in 5288, 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=5288)
0.6666667 = coord(2/3)
- Date
- 20. 1.2015 18:30:22
- Footnote
- Beitrag in einem Special Issue: Information Science in the German-speaking Countries
- Source
- Aslib journal of information management. 71(2019) no.3, S.310-324
-
Alqaraleh, S.; Ramadan, O.; Salamah, M.: Efficient watcher based web crawler design (2015)
0.05
0.050978534 = product of:
0.0764678 = sum of:
0.0088240495 = weight(_text_:information in 1627) [ClassicSimilarity], result of:
0.0088240495 = score(doc=1627,freq=2.0), product of:
0.09099081 = queryWeight, product of:
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.0518325 = queryNorm
0.09697737 = fieldWeight in 1627, 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=1627)
0.06764375 = sum of:
0.032530803 = weight(_text_:management in 1627) [ClassicSimilarity], result of:
0.032530803 = score(doc=1627,freq=2.0), product of:
0.17470726 = queryWeight, product of:
3.3706124 = idf(docFreq=4130, maxDocs=44218)
0.0518325 = queryNorm
0.18620178 = fieldWeight in 1627, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.3706124 = idf(docFreq=4130, maxDocs=44218)
0.0390625 = fieldNorm(doc=1627)
0.035112944 = weight(_text_:22 in 1627) [ClassicSimilarity], result of:
0.035112944 = score(doc=1627,freq=2.0), product of:
0.18150859 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.0518325 = queryNorm
0.19345059 = fieldWeight in 1627, 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=1627)
0.6666667 = coord(2/3)
- Date
- 20. 1.2015 18:30:22
- Source
- Aslib journal of information management. 67(2015) no.6, S.663-686
-
Berri, J.; Benlamri, R.: Context-aware mobile search engine (2012)
0.03
0.030303856 = product of:
0.045455784 = sum of:
0.025937302 = weight(_text_:information in 104) [ClassicSimilarity], result of:
0.025937302 = score(doc=104,freq=12.0), product of:
0.09099081 = queryWeight, product of:
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.0518325 = queryNorm
0.2850541 = fieldWeight in 104, product of:
3.4641016 = tf(freq=12.0), with freq of:
12.0 = termFreq=12.0
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.046875 = fieldNorm(doc=104)
0.019518482 = product of:
0.039036963 = sum of:
0.039036963 = weight(_text_:management in 104) [ClassicSimilarity], result of:
0.039036963 = score(doc=104,freq=2.0), product of:
0.17470726 = queryWeight, product of:
3.3706124 = idf(docFreq=4130, maxDocs=44218)
0.0518325 = queryNorm
0.22344214 = fieldWeight in 104, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.3706124 = idf(docFreq=4130, maxDocs=44218)
0.046875 = fieldNorm(doc=104)
0.5 = coord(1/2)
0.6666667 = coord(2/3)
- Abstract
- Exploiting context information in a web search engine helps fine-tuning web services and applications to deliver custom-made information to end users. While context, including user and environment information, cannot be exploited efficiently in the wired Internet interaction type, it is becoming accessible with the mobile web where users have an intimate relationship with their handsets. In this type of interaction, context plays a significant role enhancing information search and therefore, allowing a search engine to detect relevant content in all digital forms and formats. This chapter proposes a context model and an architecture that promote integration of context information for individuals and social communities to add value to their interaction with the mobile web. The architecture relies on efficient knowledge management of multimedia resources for a wide range of applications and web services. The research is illustrated with a corporate case study showing how efficient context integration improves usability of a mobile search engine.
- Source
- Next generation search engines: advanced models for information retrieval. Eds.: C. Jouis, u.a
-
Bouidghaghen, O.; Tamine, L.: Spatio-temporal based personalization for mobile search (2012)
0.03
0.029830119 = product of:
0.044745177 = sum of:
0.02367741 = weight(_text_:information in 108) [ClassicSimilarity], result of:
0.02367741 = score(doc=108,freq=10.0), product of:
0.09099081 = queryWeight, product of:
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.0518325 = queryNorm
0.2602176 = fieldWeight in 108, 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=108)
0.021067765 = product of:
0.04213553 = sum of:
0.04213553 = weight(_text_:22 in 108) [ClassicSimilarity], result of:
0.04213553 = score(doc=108,freq=2.0), product of:
0.18150859 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.0518325 = queryNorm
0.23214069 = fieldWeight in 108, 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=108)
0.5 = coord(1/2)
0.6666667 = coord(2/3)
- Abstract
- The explosion of the information available on the Internet has made traditional information retrieval systems, characterized by one size fits all approaches, less effective. Indeed, users are overwhelmed by the information delivered by such systems in response to their queries, particularly when the latter are ambiguous. In order to tackle this problem, the state-of-the-art reveals that there is a growing interest towards contextual information retrieval (CIR) which relies on various sources of evidence issued from the user's search background and environment, in order to improve the retrieval accuracy. This chapter focuses on mobile context, highlights challenges they present for IR, and gives an overview of CIR approaches applied in this environment. Then, the authors present an approach to personalize search results for mobile users by exploiting both cognitive and spatio-temporal contexts. The experimental evaluation undertaken in front of Yahoo search shows that the approach improves the quality of top search result lists and enhances search result precision.
- Date
- 20. 4.2012 13:19:22
- Source
- Next generation search engines: advanced models for information retrieval. Eds.: C. Jouis, u.a
-
Jindal, V.; Bawa, S.; Batra, S.: ¬A review of ranking approaches for semantic search on Web (2014)
0.03
0.028797261 = product of:
0.043195892 = sum of:
0.02367741 = weight(_text_:information in 2799) [ClassicSimilarity], result of:
0.02367741 = score(doc=2799,freq=10.0), product of:
0.09099081 = queryWeight, product of:
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.0518325 = queryNorm
0.2602176 = fieldWeight in 2799, 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=2799)
0.019518482 = product of:
0.039036963 = sum of:
0.039036963 = weight(_text_:management in 2799) [ClassicSimilarity], result of:
0.039036963 = score(doc=2799,freq=2.0), product of:
0.17470726 = queryWeight, product of:
3.3706124 = idf(docFreq=4130, maxDocs=44218)
0.0518325 = queryNorm
0.22344214 = fieldWeight in 2799, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.3706124 = idf(docFreq=4130, maxDocs=44218)
0.046875 = fieldNorm(doc=2799)
0.5 = coord(1/2)
0.6666667 = coord(2/3)
- Abstract
- With ever increasing information being available to the end users, search engines have become the most powerful tools for obtaining useful information scattered on the Web. However, it is very common that even most renowned search engines return result sets with not so useful pages to the user. Research on semantic search aims to improve traditional information search and retrieval methods where the basic relevance criteria rely primarily on the presence of query keywords within the returned pages. This work is an attempt to explore different relevancy ranking approaches based on semantics which are considered appropriate for the retrieval of relevant information. In this paper, various pilot projects and their corresponding outcomes have been investigated based on methodologies adopted and their most distinctive characteristics towards ranking. An overview of selected approaches and their comparison by means of the classification criteria has been presented. With the help of this comparison, some common concepts and outstanding features have been identified.
- Source
- Information processing and management. 50(2014) no.2, S.416-425
-
Aloteibi, S.; Sanderson, M.: Analyzing geographic query reformulation : an exploratory study (2014)
0.02
0.023469714 = product of:
0.03520457 = sum of:
0.017648099 = weight(_text_:information in 1177) [ClassicSimilarity], result of:
0.017648099 = score(doc=1177,freq=8.0), product of:
0.09099081 = queryWeight, product of:
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.0518325 = queryNorm
0.19395474 = fieldWeight in 1177, product of:
2.828427 = tf(freq=8.0), with freq of:
8.0 = termFreq=8.0
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.0390625 = fieldNorm(doc=1177)
0.017556472 = product of:
0.035112944 = sum of:
0.035112944 = weight(_text_:22 in 1177) [ClassicSimilarity], result of:
0.035112944 = score(doc=1177,freq=2.0), product of:
0.18150859 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.0518325 = queryNorm
0.19345059 = fieldWeight in 1177, 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=1177)
0.5 = coord(1/2)
0.6666667 = coord(2/3)
- Abstract
- Search engine users typically engage in multiquery sessions in their quest to fulfill their information needs. Despite a plethora of research findings suggesting that a significant group of users look for information within a specific geographical scope, existing reformulation studies lack a focused analysis of how users reformulate geographic queries. This study comprehensively investigates the ways in which users reformulate such needs in an attempt to fill this gap in the literature. Reformulated sessions were sampled from a query log of a major search engine to extract 2,400 entries that were manually inspected to filter geo sessions. This filter identified 471 search sessions that included geographical intent, and these sessions were analyzed quantitatively and qualitatively. The results revealed that one in five of the users who reformulated their queries were looking for geographically related information. They reformulated their queries by changing the content of the query rather than the structure. Users were not following a unified sequence of modifications and instead performed a single reformulation action. However, in some cases it was possible to anticipate their next move. A number of tasks in geo modifications were identified, including standard, multi-needs, multi-places, and hybrid approaches. The research concludes that it is important to specialize query reformulation studies to focus on particular query types rather than generically analyzing them, as it is apparent that geographic queries have their special reformulation characteristics.
- Date
- 26. 1.2014 18:48:22
- Source
- Journal of the Association for Information Science and Technology. 65(2014) no.1, S.13-24
-
Fluhr, C.: Crosslingual access to photo databases (2012)
0.02
0.021104416 = product of:
0.031656623 = sum of:
0.01058886 = weight(_text_:information in 93) [ClassicSimilarity], result of:
0.01058886 = score(doc=93,freq=2.0), product of:
0.09099081 = queryWeight, product of:
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.0518325 = queryNorm
0.116372846 = fieldWeight in 93, 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=93)
0.021067765 = product of:
0.04213553 = sum of:
0.04213553 = weight(_text_:22 in 93) [ClassicSimilarity], result of:
0.04213553 = score(doc=93,freq=2.0), product of:
0.18150859 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.0518325 = queryNorm
0.23214069 = fieldWeight in 93, 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=93)
0.5 = coord(1/2)
0.6666667 = coord(2/3)
- Date
- 17. 4.2012 14:25:22
- Source
- Next generation search engines: advanced models for information retrieval. Eds.: C. Jouis, u.a
-
Chen, L.-C.: Next generation search engine for the result clustering technology (2012)
0.02
0.021104416 = product of:
0.031656623 = sum of:
0.01058886 = weight(_text_:information in 105) [ClassicSimilarity], result of:
0.01058886 = score(doc=105,freq=2.0), product of:
0.09099081 = queryWeight, product of:
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.0518325 = queryNorm
0.116372846 = fieldWeight in 105, 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=105)
0.021067765 = product of:
0.04213553 = sum of:
0.04213553 = weight(_text_:22 in 105) [ClassicSimilarity], result of:
0.04213553 = score(doc=105,freq=2.0), product of:
0.18150859 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.0518325 = queryNorm
0.23214069 = fieldWeight in 105, 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=105)
0.5 = coord(1/2)
0.6666667 = coord(2/3)
- Date
- 17. 4.2012 15:22:11
- Source
- Next generation search engines: advanced models for information retrieval. Eds.: C. Jouis, u.a
-
Lewandowski, D.: ¬Die Macht der Suchmaschinen und ihr Einfluss auf unsere Entscheidungen (2014)
0.02
0.021104416 = product of:
0.031656623 = sum of:
0.01058886 = weight(_text_:information in 1491) [ClassicSimilarity], result of:
0.01058886 = score(doc=1491,freq=2.0), product of:
0.09099081 = queryWeight, product of:
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.0518325 = queryNorm
0.116372846 = fieldWeight in 1491, 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=1491)
0.021067765 = product of:
0.04213553 = sum of:
0.04213553 = weight(_text_:22 in 1491) [ClassicSimilarity], result of:
0.04213553 = score(doc=1491,freq=2.0), product of:
0.18150859 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.0518325 = queryNorm
0.23214069 = fieldWeight in 1491, 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=1491)
0.5 = coord(1/2)
0.6666667 = coord(2/3)
- Date
- 22. 9.2014 18:54:11
- Source
- Information - Wissenschaft und Praxis. 65(2014) H.4/5, S.231-238
-
Roy, R.S.; Agarwal, S.; Ganguly, N.; Choudhury, M.: Syntactic complexity of Web search queries through the lenses of language models, networks and users (2016)
0.02
0.021032736 = product of:
0.031549104 = sum of:
0.015283704 = weight(_text_:information in 3188) [ClassicSimilarity], result of:
0.015283704 = score(doc=3188,freq=6.0), product of:
0.09099081 = queryWeight, product of:
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.0518325 = queryNorm
0.16796975 = fieldWeight in 3188, 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=3188)
0.016265402 = product of:
0.032530803 = sum of:
0.032530803 = weight(_text_:management in 3188) [ClassicSimilarity], result of:
0.032530803 = score(doc=3188,freq=2.0), product of:
0.17470726 = queryWeight, product of:
3.3706124 = idf(docFreq=4130, maxDocs=44218)
0.0518325 = queryNorm
0.18620178 = fieldWeight in 3188, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.3706124 = idf(docFreq=4130, maxDocs=44218)
0.0390625 = fieldNorm(doc=3188)
0.5 = coord(1/2)
0.6666667 = coord(2/3)
- Abstract
- Across the world, millions of users interact with search engines every day to satisfy their information needs. As the Web grows bigger over time, such information needs, manifested through user search queries, also become more complex. However, there has been no systematic study that quantifies the structural complexity of Web search queries. In this research, we make an attempt towards understanding and characterizing the syntactic complexity of search queries using a multi-pronged approach. We use traditional statistical language modeling techniques to quantify and compare the perplexity of queries with natural language (NL). We then use complex network analysis for a comparative analysis of the topological properties of queries issued by real Web users and those generated by statistical models. Finally, we conduct experiments to study whether search engine users are able to identify real queries, when presented along with model-generated ones. The three complementary studies show that the syntactic structure of Web queries is more complex than what n-grams can capture, but simpler than NL. Queries, thus, seem to represent an intermediate stage between syntactic and non-syntactic communication.
- Source
- Information processing and management. 52(2016) no.5, S.923-948
-
Vidinli, I.B.; Ozcan, R.: New query suggestion framework and algorithms : a case study for an educational search engine (2016)
0.02
0.020071562 = product of:
0.030107342 = sum of:
0.01058886 = weight(_text_:information in 3185) [ClassicSimilarity], result of:
0.01058886 = score(doc=3185,freq=2.0), product of:
0.09099081 = queryWeight, product of:
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.0518325 = queryNorm
0.116372846 = fieldWeight in 3185, 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=3185)
0.019518482 = product of:
0.039036963 = sum of:
0.039036963 = weight(_text_:management in 3185) [ClassicSimilarity], result of:
0.039036963 = score(doc=3185,freq=2.0), product of:
0.17470726 = queryWeight, product of:
3.3706124 = idf(docFreq=4130, maxDocs=44218)
0.0518325 = queryNorm
0.22344214 = fieldWeight in 3185, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.3706124 = idf(docFreq=4130, maxDocs=44218)
0.046875 = fieldNorm(doc=3185)
0.5 = coord(1/2)
0.6666667 = coord(2/3)
- Source
- Information processing and management. 52(2016) no.5, S.733-752
-
Kucukyilmaz, T.; Cambazoglu, B.B.; Aykanat, C.; Baeza-Yates, R.: ¬A machine learning approach for result caching in web search engines (2017)
0.02
0.020071562 = product of:
0.030107342 = sum of:
0.01058886 = weight(_text_:information in 5100) [ClassicSimilarity], result of:
0.01058886 = score(doc=5100,freq=2.0), product of:
0.09099081 = queryWeight, product of:
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.0518325 = queryNorm
0.116372846 = fieldWeight in 5100, 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=5100)
0.019518482 = product of:
0.039036963 = sum of:
0.039036963 = weight(_text_:management in 5100) [ClassicSimilarity], result of:
0.039036963 = score(doc=5100,freq=2.0), product of:
0.17470726 = queryWeight, product of:
3.3706124 = idf(docFreq=4130, maxDocs=44218)
0.0518325 = queryNorm
0.22344214 = fieldWeight in 5100, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.3706124 = idf(docFreq=4130, maxDocs=44218)
0.046875 = fieldNorm(doc=5100)
0.5 = coord(1/2)
0.6666667 = coord(2/3)
- Source
- Information processing and management. 53(2017) no.4, S.834-850
-
Lewandowski, D.; Spree, U.: Ranking of Wikipedia articles in search engines revisited : fair ranking for reasonable quality? (2011)
0.02
0.02002371 = product of:
0.030035563 = sum of:
0.01247909 = weight(_text_:information in 444) [ClassicSimilarity], result of:
0.01247909 = score(doc=444,freq=4.0), product of:
0.09099081 = queryWeight, product of:
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.0518325 = queryNorm
0.13714671 = fieldWeight in 444, 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=444)
0.017556472 = product of:
0.035112944 = sum of:
0.035112944 = weight(_text_:22 in 444) [ClassicSimilarity], result of:
0.035112944 = score(doc=444,freq=2.0), product of:
0.18150859 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.0518325 = queryNorm
0.19345059 = fieldWeight in 444, 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=444)
0.5 = coord(1/2)
0.6666667 = coord(2/3)
- Abstract
- This paper aims to review the fiercely discussed question of whether the ranking of Wikipedia articles in search engines is justified by the quality of the articles. After an overview of current research on information quality in Wikipedia, a summary of the extended discussion on the quality of encyclopedic entries in general is given. On this basis, a heuristic method for evaluating Wikipedia entries is developed and applied to Wikipedia articles that scored highly in a search engine retrieval effectiveness test and compared with the relevance judgment of jurors. In all search engines tested, Wikipedia results are unanimously judged better by the jurors than other results on the corresponding results position. Relevance judgments often roughly correspond with the results from the heuristic evaluation. Cases in which high relevance judgments are not in accordance with the comparatively low score from the heuristic evaluation are interpreted as an indicator of a high degree of trust in Wikipedia. One of the systemic shortcomings of Wikipedia lies in its necessarily incoherent user model. A further tuning of the suggested criteria catalog, for instance, the different weighing of the supplied criteria, could serve as a starting point for a user model differentiated evaluation of Wikipedia articles. Approved methods of quality evaluation of reference works are applied to Wikipedia articles and integrated with the question of search engine evaluation.
- Date
- 30. 9.2012 19:27:22
- Source
- Journal of the American Society for Information Science and Technology. 62(2011) no.1, S.117-132
-
Vaughan, L.; Chen, Y.: Data mining from web search queries : a comparison of Google trends and Baidu index (2015)
0.02
0.02002371 = product of:
0.030035563 = sum of:
0.01247909 = weight(_text_:information in 1605) [ClassicSimilarity], result of:
0.01247909 = score(doc=1605,freq=4.0), product of:
0.09099081 = queryWeight, product of:
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.0518325 = queryNorm
0.13714671 = fieldWeight in 1605, 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=1605)
0.017556472 = product of:
0.035112944 = sum of:
0.035112944 = weight(_text_:22 in 1605) [ClassicSimilarity], result of:
0.035112944 = score(doc=1605,freq=2.0), product of:
0.18150859 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.0518325 = queryNorm
0.19345059 = fieldWeight in 1605, 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=1605)
0.5 = coord(1/2)
0.6666667 = coord(2/3)
- Abstract
- Numerous studies have explored the possibility of uncovering information from web search queries but few have examined the factors that affect web query data sources. We conducted a study that investigated this issue by comparing Google Trends and Baidu Index. Data from these two services are based on queries entered by users into Google and Baidu, two of the largest search engines in the world. We first compared the features and functions of the two services based on documents and extensive testing. We then carried out an empirical study that collected query volume data from the two sources. We found that data from both sources could be used to predict the quality of Chinese universities and companies. Despite the differences between the two services in terms of technology, such as differing methods of language processing, the search volume data from the two were highly correlated and combining the two data sources did not improve the predictive power of the data. However, there was a major difference between the two in terms of data availability. Baidu Index was able to provide more search volume data than Google Trends did. Our analysis showed that the disadvantage of Google Trends in this regard was due to Google's smaller user base in China. The implication of this finding goes beyond China. Google's user bases in many countries are smaller than that in China, so the search volume data related to those countries could result in the same issue as that related to China.
- Source
- Journal of the Association for Information Science and Technology. 66(2015) no.1, S.13-22
-
Rieh, S.Y.; Kim, Y.-M.; Markey, K.: Amount of invested mental effort (AIME) in online searching (2012)
0.02
0.019162996 = product of:
0.028744493 = sum of:
0.01247909 = weight(_text_:information in 2726) [ClassicSimilarity], result of:
0.01247909 = score(doc=2726,freq=4.0), product of:
0.09099081 = queryWeight, product of:
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.0518325 = queryNorm
0.13714671 = fieldWeight in 2726, 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=2726)
0.016265402 = product of:
0.032530803 = sum of:
0.032530803 = weight(_text_:management in 2726) [ClassicSimilarity], result of:
0.032530803 = score(doc=2726,freq=2.0), product of:
0.17470726 = queryWeight, product of:
3.3706124 = idf(docFreq=4130, maxDocs=44218)
0.0518325 = queryNorm
0.18620178 = fieldWeight in 2726, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.3706124 = idf(docFreq=4130, maxDocs=44218)
0.0390625 = fieldNorm(doc=2726)
0.5 = coord(1/2)
0.6666667 = coord(2/3)
- Abstract
- This research investigates how people's perceptions of information retrieval (IR) systems, their perceptions of search tasks, and their perceptions of self-efficacy influence the amount of invested mental effort (AIME) they put into using two different IR systems: a Web search engine and a library system. It also explores the impact of mental effort on an end user's search experience. To assess AIME in online searching, two experiments were conducted using these methods: Experiment 1 relied on self-reports and Experiment 2 employed the dual-task technique. In both experiments, data were collected through search transaction logs, a pre-search background questionnaire, a post-search questionnaire and an interview. Important findings are these: (1) subjects invested greater mental effort searching a library system than searching the Web; (2) subjects put little effort into Web searching because of their high sense of self-efficacy in their searching ability and their perception of the easiness of the Web; (3) subjects did not recognize that putting mental effort into searching was something needed to improve the search results; and (4) data collected from multiple sources proved to be effective for assessing mental effort in online searching.
- Source
- Information processing and management. 48(2012) no.6, S.1136-1150
-
Bilal, D.; Gwizdka, J.: Children's query types and reformulations in Google search (2018)
0.02
0.019162996 = product of:
0.028744493 = sum of:
0.01247909 = weight(_text_:information in 5047) [ClassicSimilarity], result of:
0.01247909 = score(doc=5047,freq=4.0), product of:
0.09099081 = queryWeight, product of:
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.0518325 = queryNorm
0.13714671 = fieldWeight in 5047, 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=5047)
0.016265402 = product of:
0.032530803 = sum of:
0.032530803 = weight(_text_:management in 5047) [ClassicSimilarity], result of:
0.032530803 = score(doc=5047,freq=2.0), product of:
0.17470726 = queryWeight, product of:
3.3706124 = idf(docFreq=4130, maxDocs=44218)
0.0518325 = queryNorm
0.18620178 = fieldWeight in 5047, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.3706124 = idf(docFreq=4130, maxDocs=44218)
0.0390625 = fieldNorm(doc=5047)
0.5 = coord(1/2)
0.6666667 = coord(2/3)
- Abstract
- We investigated the searching behaviors of twenty-four children in grades 6, 7, and 8 (ages 11-13) in finding information on three types of search tasks in Google. Children conducted 72 search sessions and issued 150 queries. Children's phrase- and question-like queries combined were much more prevalent than keyword queries (70% vs. 30%, respectively). Fifty two percent of the queries were reformulations (33 sessions). We classified children's query reformulation types into five classes based on the taxonomy by Liu et al. (2010). We found that most query reformulations were by Substitution and Specialization, and that children hardly repeated queries. We categorized children's queries by task facets and examined the way they expressed these facets in their query formulations and reformulations. Oldest children tended to target the general topic of search tasks in their queries most frequently, whereas younger children expressed one of the two facets more often. We assessed children's achieved task outcomes using the search task outcomes measure we developed. Children were mostly more successful on the fact-finding and fully self-generated task and partially successful on the research-oriented task. Query type, reformulation type, achieved task outcomes, and expressing task facets varied by task type and grade level. There was no significant effect of query length in words or of the number of queries issued on search task outcomes. The study findings have implications for human intervention, digital literacy, search task literacy, as well as for system intervention to support children's query formulation and reformulation during interaction with Google.
- Source
- Information processing and management. 54(2018) no.6, S.1022-1041
-
Gencosman, B.C.; Ozmutlu, H.C.; Ozmutlu, S.: Character n-gram application for automatic new topic identification (2014)
0.02
0.0167263 = product of:
0.02508945 = sum of:
0.0088240495 = weight(_text_:information in 2688) [ClassicSimilarity], result of:
0.0088240495 = score(doc=2688,freq=2.0), product of:
0.09099081 = queryWeight, product of:
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.0518325 = queryNorm
0.09697737 = fieldWeight in 2688, 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=2688)
0.016265402 = product of:
0.032530803 = sum of:
0.032530803 = weight(_text_:management in 2688) [ClassicSimilarity], result of:
0.032530803 = score(doc=2688,freq=2.0), product of:
0.17470726 = queryWeight, product of:
3.3706124 = idf(docFreq=4130, maxDocs=44218)
0.0518325 = queryNorm
0.18620178 = fieldWeight in 2688, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.3706124 = idf(docFreq=4130, maxDocs=44218)
0.0390625 = fieldNorm(doc=2688)
0.5 = coord(1/2)
0.6666667 = coord(2/3)
- Source
- Information processing and management. 50(2014) no.6, S.821-856
