ABSTRACT
Thanks to the ubiquity of the Internet search engine search box, users have come to depend on search engines both to find and re-find information. However, re-finding behavior has not been significantly addressed. Here we look at re-finding queries issued to the Yahoo! search engine by 114 users over a year.
- Anick, P. Using terminological feedback for Web search refinement: A log-based study. In Proceedings of SIGIR '03, 2003, 88--95. Google ScholarDigital Library
- Aula, A., Jhaveri, N., and Kaki, M. Information search and re-access strategies of experienced Web users. In Proceedings of WWW '05, 2005, 583--592. Google ScholarDigital Library
- Capra, R. and Perez-Quinones, M.A. Using Web search engines to find and refind information. IEEE Computer, 38 (10), 2005, 36--42. Google ScholarDigital Library
- Graphic, Visualization, and Usability Center. GVU's Tenth WWW User Survey, October 1998.Google Scholar
- Jones, R. and Fain, D. C. Query word deletion prediction. In Proceedings of SIGIR '03, 2003, 435--436. Google ScholarDigital Library
- Kamvar, M. and Baluja, S. A large scale study of wireless search behavior: Google mobile search. In Proceedings of CHI '06, 2006. Google ScholarDigital Library
- Komlodi, Anita (2004). Task management support in information seeking: A case for search histories. Computers in Human Behavior. 2004 (2), 163--184.Google Scholar
- Tauscher, L. and Greenberg, S. How people revisit Web pages: empirical findings and implications for the design of history systems. International Journal of Human-Computer Studies, 47 (1), 1997, 97--137. Google ScholarDigital Library
- Teevan, J. The Re:Search Engine: Helping people return to information on the Web. In Proceedings of SIGIR '05, Doctoral Consortium, 2005.Google Scholar
Index Terms
- History repeats itself: repeat queries in Yahoo's logs
Recommendations
Information re-retrieval: repeat queries in Yahoo's logs
SIGIR '07: Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrievalPeople often repeat Web searches, both to find new information on topics they have previously explored and to re-find information they have seen in the past. The query associated with a repeat search may differ from the initial query but can nonetheless ...
Predictive user click models based on click-through history
CIKM '07: Proceedings of the sixteenth ACM conference on Conference on information and knowledge managementWeb search engines consistently collect information about users interaction with the system: they record the query they issued, the URL of presented and selected documents along with their ranking. This information is very valuable: It is a poll over ...
Evaluation of phrasal query suggestions
CIKM '07: Proceedings of the sixteenth ACM conference on Conference on information and knowledge managementThis paper evaluates the uptake and efficacy of a unified approach to phrasal query suggestions in the context of a high-precision search engine. The search engine performs ranked extended-Boolean searches with the proximity operator <scp>NEAR</scp> ...
Comments