Jaime Teevan
ABSTRACT
Re-finding, a common Web task, is difficult when previously viewed information is modified, moved, or removed. For example, if a person finds a good result using the query "breast cancer treatments", she expects to be able to use the same query to locate the same result again. While re-finding could be supported by caching the original list, caching precludes the discovery of new information, such as, in this case, new treatment options. People often use search engines to simultaneously find and re-find information. The Re:Search Engine is designed to support both behaviors in dynamic environments like the Web by preserving only the memorable aspects of a result list. A study of result list memory shows that people forget a lot. The Re:Search Engine takes advantage of these memory lapses to include new results where old results have been forgotten.
- Ahlström, D. (2005). Modeling and improving selection in cascading pull-down menus using Fitts' law, the steering law and force fields. In Proceedings of CHI '05, 61--70. Google Scholar
Digital Library
- Aula, A., Jhaveri, N., and Käki, M. (2005). Information search and reaccess strategies of experienced Web users. In Proceedings of WWW '05, 583--592. Google ScholarDigital Library
- Bruce, H., Jones, W. and Dumais, S. (2004). Keeping and refinding information on the Web: What do people do and what do they need?allIn Proceedings of ASIST '04.Google Scholar
- Capra, R. and Pérez-Quiñones, M.A. (2005). Using Web search engines to find and refind information. IEEE Computer, 38 (10), 36--42. Google ScholarDigital Library
- Dumais, S. T., Cutrell, E., Cadiz, J. J., Jancke, G., Sarin, R. and Robbins, D. C. (2003). Stuff I've Seen: A system for personal information retrieval and re-use. In Proceedings of SIGIR '03, 72--79. Google ScholarDigital Library
- Durlach, P. J. (2004). Change blindness and its implications for complex monitoring and control systems design and operator training. Human-Computer Interaction, 19(4): 423--451. Google ScholarDigital Library
- Goldberg, A.V. (1997). An efficient implementation of a scaling minimum-cost flow algorithm. Journal of Algorithms, 22(1): 1--29. Google ScholarDigital Library
- Hayashi, K., Nomura, T., Hazama, T., Takeoka, M., Hashimoto, S., and Gudmundson, S. (1998). Temporally-threaded workspace: A model for providing activity-based perspectives on document spaces. In Proceeding of HyperText '98. Google ScholarDigital Library
- Komlodi, A., Soergel, D., and Marhionini, G. (2006). Search histories for user support in user interfaces. JASIST, 57(6): 803--807. Google ScholarDigital Library
- Levy, D. (1994). Fixed or fluid? Document stability and new media. In Proceedings of European Conference on Hypertext. Google ScholarDigital Library
- Mitchell, J. and Shneiderman, B. (1989). Dynamic versus static menus: An exploratory comparison. ACM SIGCHI Bulletin, 20(4): 33--37. Google ScholarDigital Library
- Murdock, B. B. (1962). The Serial Position Effect of free recall. Journal of Experimental Psychology, 64, 482--488.Google ScholarCross Ref
- Nowell, L., Hetzler, E., and Tanasse, T. (2001). Change blindness in information visualization: A case study. In Proceedings of INFOVIS '01, 15--22. Google ScholarDigital Library
- Obendorf, H., Weinreich, H., Herder, E., and Mayer, M. (2007). Web page revisitation revisited: Implications of a long-term click-stream study of browser usage. In Proceedings of CHI '07, 597--606. Google ScholarDigital Library
- Rainie, L. and Shermak, J. (2005). Pew Internet and American Life Project:allData memo on search engine use. Retrieved January, 2006 from http://www.pewinternet.org/pdfs/PIP_SearchData_1105.pdf.Google Scholar
- Rekimoto, J. (1999). Time-machine computing: A time-centric approach for the information environment. In Proceedings of UIST '99, 45--54. Google ScholarDigital Library
- Rubin, R. C. and Wenzel, A. E. (1996). 100 years of forgetting: A quantitative description of Retention. Psychological Review, 103, 734--760.Google ScholarCross Ref
- Salton, G. (1998). Automatic text indexing using complex identifiers. In Proceedings of the ACM conference on Document processing systems, 135--144. Google ScholarDigital Library
- Selberg, E. and Etzioni, O. (2000). On the instability of Web search engines. In Proceedings of RIAO '00.Google Scholar
- Silverstein, C., Marais, H., Henzinger, M., and Moricz, M. (1999). Analysis of a very large Web search engine query log. ACM SIGIR Forum, 33(1): 6--12. Google ScholarDigital Library
- Simons, D. J. and Rensink, R. A. (2005). Change blindness: Past, present, and future. Trends in Cognitive Sciences, 9(1):16--20.Google ScholarCross Ref
- Somberg, B. L. (1986). A comparison of rule-based and positionally constant arrangements of computer menu items. In Proceedings of CHI/GI '86, 255--260. Google ScholarDigital Library
- Teevan, J. (2006). How people recall search result lists. In Proceedings of CHI '06, 1415--1420. Google ScholarDigital Library
- Teevan, J. (2007). Supporting finding and refinding through personalization. Doctoral thesis, Massachusetts Institute of Technology. Google ScholarDigital Library
- Teevan, J., Adar, E., Jones, R., and Potts, M. (2007). Information Re-Retrieval: Repeat queries in Yahoo's logs. In Proceedings of SIGIR '07. Google ScholarDigital Library
- Teevan, J., Alvarado, C., Ackerman, M. S., and Karger, D. R. (2004). The perfect search engine is not enough: A study of orienteering behavior in directed search. In Proceedings of CHI '04, 415--422. Google ScholarDigital Library
- Tognazzini (1999). A quiz designed to give you Fitts. http://asktog.com/columns/022DesignedToGiveFitts.htmlGoogle Scholar
- Varakin, D. A., Levin, D. T., and Fidler, R. (2004). Unseen and unaware: Implications of recent research on failures of visual awareness for human-computer interface design. Human-Computer Interaction, 19(4): 389--422. Google ScholarDigital Library
- White, R., Ruthven, I., and Jose, J.M. (2002). Finding relevant documents using top ranking sentences: An evaluation of two alternative schemes. In Proceedings of SIGIR '02, 57--64. Google ScholarDigital Library
Index Terms
- The re:search engine: simultaneous support for finding and re-finding
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