Access concentration detection in click logs to improve mobile Web-IR

Information Sciences

Volumn 179, Issue 12, 2009, Pages 1859-1869

  Murata, Masaya ^a   Toda, Hiroyuki ^a   Matsuura, Yumiko ^a   Kataoka, Ryoji ^a  

^a NTT CORPORATION   (Japan)

Author keywords

Access concentration site; Click log analysis; Information retrieval; Mobile Web IR

Indexed keywords

CONCENTRATION (PROCESS); INFORMATION RETRIEVAL; INFORMATION SERVICES;

ACCESS CONCENTRATION SITE; BAG-OF-WORDS; CLICK LOG ANALYSIS; MOBILE CONTENTS; MOBILE WEB-IR; QUERY EXPANSIONS; RANKING ALGORITHMS; RANKING FUNCTIONS; SEARCH RESULTS; WEB SEARCHES;

WEBSITES;

EID: 63149179112     PISSN: 00200255     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ins.2009.01.046     Document Type: Article

References (34)

1. E. Agichtein, E. Brill, S. Dumais, Improving web search ranking by incorporating user behavior information, in: Proceedings of the 29th International Conference Research and Development in Information Retrieval, SIGIR'06, Seattle, Washington, USA, 2006, pp. 19-26.
2. Attar R., and Fraenkel A.S. Local feedback in full-text retrieval systems. ACM 24 (1977) 397-417
3. S. Brin, L. Page, The Anatomy of a large-scale hypertextual web search engine, in: Proceedings of the Seventh International Conference World Wide Web, Brisbane, Australia, 1998, pp. 107-117.
4. J. Boyan, D. Freitag, T. Joachims, A machine learning architecture for optimizing web search engines, in: AAAI Workshop on Internet Based Information Systems, 1996, pp. 1-8.
5. Carpineto C., De Mori R., Ropano G., and Bigi B. An information-theoretic approach to automatic query expansion. ACM Transactions on Information Systems 19 (2001) 1-27
6. Cohen W., Shapire R., and Singer Y. Learning to order things. Artificial Intelligence Research 10 (1999) 243-270
7. H. Cui, J. Wen, J. Nie, W. Ma, Probabilistic query expansion using query logs, in: Proceedings of the 11th International Conference World Wide Web, Honolulu, Hawaii, USA, 2002, pp. 325-332.
8. C. Ding, J. Zhou, Log-based indexing to Improve web site search, in: Proceedings of the 22th International Conference ACM Symposium on Applied Computing - Information Access and Retrieval Track, Seoul, Korea, 2007, pp. 829-833.
9. P.A. Dmitriev, N. Eiron, M. Fontoura, E. Shekita, Using annotations in enterprise search, in: Proceedings of the 15th International Conference World Wide Web, Edinburgh, Scotland, 2006, pp. 811-817.
10. Ekmekcioglu F.C., Robertson A.M., and Willett P. Effectiveness of query expansion in ranked-output document retrieval systems. Journal of Information Science 18 (1992) 139-147
11. J.H. Goldberg, M.J. Stimson, M. Lewenstein, N. Scott, A.M. Wichansky, Eye tracking in web search tasks; design implications, in: Proceedings of the International Conference Symposium on Eye Tracking Research and Applications, New Orleans, Louisiana, USA, 2002, pp. 51-58.
12. B.J. Jansen, A. Spink, An analysis of web documents retrieved and viewed, in: Proceedings of the International Conference Internet Computing, Las Vegas, 2003, pp. 65-69.
13. T. Joachims, Optimizing search engines using clickthrough data, in: Proceedings of the Eighth International Conference Knowledge Discovery and Data Mining, SIGKDD'02, Edmonton, Alberta, Canada, 2002, pp. 133-142.
14. T. Joachims, L. Granka, B. Pan, H. Hembrooke, G. Gay, Accurately interpreting clickthrough data as implicit feedback, in: Proceedings of the 28th International Conference Research and Development in Information Retrieval, SIGIR'05, Salvador, Brazil, 2005, pp. 154-161.
15. T. Kawashige, S. Oyama, H. Ohshima, K. Tanaka, Context matcher: improved web search using query term context in source document and in search results, in: Proceedings of the 8th International Conference Frontiers of WWW Research and Development, APWeb 2006, Harbin, China, 2006, pp. 486-497.
16. K. Kloeckner, N. Wirschum, A. Jameson, Depth- and breadth-first processing of search result lists, in: Proceedings of the International Conference Human Factors in Computing Systems, Vienna, Austria, 2004, pp. 1539-1539.
17. J. Luxenburger, G. Weikum, Query-log based authority analysis for web information search, in: Proceedings of the Fifth International Conference Web Information Systems Engineering, Brisbane, Australia, 2004, pp. 90-101.
18. M. Mitra, A. Singhal, C. Buckley, Improving automatic query expansion, in: Proceedings of the 21th International Conference Research and Development in Information Retrieval, SIGIR'98, Melbourne, Australia, 1998, pp. 206-214.
19. L. Page, S. Brin, R. Motwani, T. Winograd, The PageRank Citation Ranking: Bringing Order to the Web, Technical Report, Stanford Digital Library Technologies Project, 1998.
20. J. Parikh, S. Kapur, Unity: relevance feedback using user query logs, in: Proceedings of the 29th International Conference Research and Development in Information Retrieval, SIGIR'06, Seattle, Washington, USA, 2006, pp. 689-690.
21. Robertson S.E., and Jones K.S. Relevance weighting of search terms. American Society for Information Science 27 (1976) 129-146
22. Robertson S.E. On term selection for query expansion. Journal of Documentation 46 (1990) 359-364
23. S.E. Robertson, S. Walker, S. Jones, M. Hancock-Beaulieu, M. Gatford, Okapi at TREC-3, in: Proceedings of the Third International Conference Text Retrieval, 1995, pp. 109-126.
24. Salton G., and Buckley C. Term-weighting approaches in automatic text retrieval. Information Processing and Management 24 (1988) 513-523
25. T. Sakai, S.E. Robertson, Flexible pseudo-relevance feedback using optimization tables, in: Proceedings of the 24th International Conference Research and Development in Information Retrieval, SIGIR'01, New Orleans, Louisiana, USA, 2001, pp. 396-397.
26. X. Shen, B. Tan, C. Zhai, Context-sensitive information retrieval using implicit feedback, in: Proceedings of the 28th International Conference Research and Development in Information Retrieval, SIGIR'05, Salvador, Brazil, 2005, pp. 43-50.
27. T. Tao, C. Zhai, Regularized estimation of mixture models for robust pseudo-relevance feedback, in: Proceedings of the 29th International Conference Research and Development in Information Retrieval, SIGIR'06, Seattle, Washington, USA, 2006, pp. 162-169.
28. Vechtomova O., and Wang Y. A study of the effect of term proximity on query expansion. Journal of Information Science 32 4 (2006) 324-333
29. Walker S., and Jones R.M. Improving Subject Retrieval in Online Catalogues (1987), British Library Research and Development Department, London
30. G.R. Xue, H.J. Zeng, Z. Chen, Y. Yu, W.Y. Ma, W.S. Xi, W.G. Fan, Optimizing web search using web click-through data, in: Proceedings of the 13th International Conference Information and Knowledge Management, CIKM'04, Washington, USA, 2004, pp. 118-126.
31. Yates R.B., and Neto B.R. Modern Information Retrieval (1999), ACM Press, Addison-Wesley Longman Publishing Co. Inc., Boston, MA
32. Yates R.B. Web Usage Mining in Search Engines, Web Mining: Applications and Techniques. In: Scime A. (Ed) (2005), Idea Group Publishing 307-321
33. R.B. Yates, Applications of web query mining, in: Proceedings of the 27th International Conference European Conference on Information Retrieval, ECIR'05, Santiago de Compostela, Spain, 2005, pp. 7-22.
34. Z. Zhuang, S. Cucerzan, Re-ranking search results using query logs, in: Proceedings of the 15th International Conference Information and Knowledge Management, CIKM'06, Arlington, Virginia, USA, 2006, pp. 860-861.