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The Re:Search Engine helps you find
information on the Web that you have seen before
by remembering your past search results for you. When you search using a
query that is similar to one you've used before, in addition to providing you
with the most relevant new results, the Re:Search Engine will
seemlessly integrate past relevant results into your result list.
For example, if last week you found several good GPS systems via a search for "GPS", you would expect to be able to find those same systems again now. However, if you tried, you'd probably find it difficult. The results a typical search engine returns might not contain the results you saw before because you don't remember the exact wording to your previous query, or, even if you do, because the search engine's index has changed.  The Re:Search Engine helps you re-find by recognizing similar queries, and merging the results from past similar queries into the results for your current query. You get both new information and relevant old information. |
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Thesis research of: Jaime Teevan Advisor: David R. Karger Committee: Mark S. Ackerman Susan T. Dumais Robert C. Miller UROP: Pawan Deshpande |
Jaime Teevan. How People Recall, Recognize and Reuse Search Results. ACM Transactions on Information Systems (TOIS) special issue on Keeping, Re-Finding, and Sharing Personal Information, 26(4), September 2008. [pdf]
Jaime Teevan. "Where'd it Go?": How People Ask After Lost Web Information. In Proceedings of the Annual Meeting of the American Society for Information Science and Technology (ASIST '07), Milwaukee, WI, October 2007 (Presenter). [pdf, slides: ppt]
Jaime Teevan. The Re:Search Engine: Simultaneous Support for Finding and Re-Finding. In Proceedings of the 20th Annual ACM Symposium on User Interface Software and Technology (UIST '07), Newport, RI, October 2007 (Presenter). [pdf, slides: ppt]
Jaime Teevan, Eytan Adar, Rosie Jones and Michael Potts. Information Re-Retrieval: Repeat Queries in Yahoo's Logs. In Proceedings of the 30th Annual ACM Conference on Research and Development in Information Retrieval (SIGIR '07), Amsterdam, The Netherlands, July 2007. [pdf, slides: ppt]
Jaime Teevan. Maintaining Consistency without Stagnation during Exploratory Search. In Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI '07) Workshop on Exploratory Search and HCI (Presenter). [pdf, slides: ppt]
Jaime Teevan. Supporting Finding and Re-Finding Through Personalization. Doctoral thesis, Massachusetts Institute of Technology, February 2007. [pdf, defense: ppt]
Jaime Teevan, Eytan Adar, Rosie Jones and Michael Potts. History Repeats Itself: Repeat Queries in Yahoo's Logs. In Proceedings of the 29th Annual ACM Conference on Research and Development in Information Retrieval (SIGIR '06), Seattle, WA, August 2006. [pdf, poster: jpg]
Jaime Teevan. Making Dynamic Lists Appear Static by Preserving the Memorable Aspects. MIT Computer Science and Artificial Intelligence Laboratory Abstract, August 2006. [html]
Jaime Teevan. How People Recall Search Result Lists. In Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI '06), Montreal, Canada, April 2006. [abstract: pdf, poster: jpg]
Jaime Teevan. The Re:Search Engine: Helping People Return to Information On the Web. In Proceedings of the ACM Symposium on User Interface Software and Technology (UIST '05), Seattle, WA, October 2005 (Doctoral Symposium). [pdf]
Jaime Teevan. The Re:Search Engine: Helping People Return to Information On the Web. In Proceedings of the 28th Annual ACM Conference on Research and Development in Information Retrieval (SIGIR '05), Salvador, Brazil, August 2005 (Doctoral Consortium). [pdf]
Jaime Teevan. Helping People Find Information Better. Greater Boston Chapter / ACM and Boston IEEE Computer Society, Cambridge, MA, April 2005 (Presenter). [slides: ppt]
Jaime Teevan. The Re:Search Engine: Helping People Return to Information on the Web. The PIM Workshop, An NSF Sponsered Invitational Workshop of Personal Information Management, (NSF PIM Workshop), Seattle, WA, January 2005 (Poster). [jpg]
Jaime Teevan. How People Re-find Information When the Web Changes. MIT AI Memo AIM-2004-012, June 2004. [ps, pdf]
Jaime Teevan. The Re-Search Engine: Re-Finding in Dynamic Information Environments. MIT Computer Science and Artificial Intelligence Laboratory, March 2004. [pdf ]
Jaime Teevan. The Re-Search Engine: Helping People Return to Information in Dynamic Information Environments. Doctoral thesis proposal, Massachusetts Institute of Technology, December 2003. [ps, pdf]
Jaime Teevan. "Where'd It Go?": Re-Finding Information in the Changing Web. In Proceedings of the Student Oxygen Workshop, Gloucester, MA, September 2003. [ps, pdf]
Jaime Teevan. Displaying Dynamic Information. In Proceedings of ACM CHI 2001 Conference on Human Factors in Computing Systems (Extended Abstract), April 2001. [abstract: pdf, ps, poster: ppt]
Jaime Teevan. Displaying Dynamic Clusters in Haystack. MIT Artificial Intelligence Laboratory Abstract, September 2000. [pdf, ps]
