Jaime Teevan jaime@teevan.org 13109 NE 38th Place Bellevue, WA 98005 (425) 556-9753 Home * Work * Personal

Research * Publications * Classes * Curriculum Vitae

Organized by Type * Subject * Date

PERSONALIZED SEARCH:

	Jaime Teevan, Susan T. Dumais and Eric Horvitz. Potential for Personalization. To appear in the ACM Transactions on Computer-Human Interaction (TOCHI) special issue on Data Mining for Understanding User Needs, March 2010. [pdf]
	Jacek Gwizdka, Nicholas Belkin, Luanne Freund, Susan Gauch, and Jaime Teevan. Multiple Facets of Personalization. The Annual Meeting of the American Society for Information Science and Technology (ASIST '09), Vancouver, British Columbia, November 2009 (Panelist). [ppt]
	Young Microsoft Innovators Cited by MIT Magazine. Microsoft Press Pass, September 2009. [html]
	Kurt Kleiner. Using Personal Information to Improve Search Results. TR35 2009 Young Innovator, Technology Review, August 2009. [html]
	Jaime Teevan and Susan T. Dumais. Creating a Search Experience That Satisfies You. Microsoft Search Summit, Seattle, WA, June 2009 (Presenter). [ppt]
	Ryen W. White, Susan T. Dumais and Jaime Teevan. Characterizing the Influence of Domain Expertise on Web Search Behavior. In Proceedings of the Second ACM International Conference on Web Search and Data Mining (WSDM '09), Barcelona, Spain, February 2009. [pdf]
	Robert Lemos. Microsoft Searches for Group Advantage. Technology Review, 30 January 2009. [html]
	Jaime Teevan, Susan T. Dumais and Daniel J. Liebling. To Personalize or Not to Personalize: Modeling Queries with Variation in User Intent. In Proceedings of the 31th Annual ACM Conference on Research and Development in Information Retrieval (SIGIR '08), Singapore, July 2008 (Presenter). [pdf (original pdf with erroroneous Fig. 4), slides: ppt]
	Ryen W. White, Susan T. Dumais and Jaime Teevan. How Medical Expertise Influences Web Search Interaction. In Proceedings of the 31th Annual ACM Conference on Research and Development in Information Retrieval (SIGIR '08), Singapore, July 2008. [pdf]
	Jaime Teevan. Personalization and Search. University of California, Berkeley, CA, November 2007 (Presenter). [slides: ppt, audio: rm, mp3]
	Jaime Teevan, Susan T. Dumais and Eric Horvitz. Characterizing the Value of Personalizing Search. In Proceedings of the 30th Annual ACM Conference on Research and Development in Information Retrieval (SIGIR '07), Amsterdam, The Netherlands, July 2007. [pdf, poster: pdf]
	Jaime Teevan. Supporting Finding and Re-Finding Through Personalization. Doctoral thesis, Massachusetts Institute of Technology, June 2006. [pdf, defense: ppt]
	Celeste Biever. Your Very Own Personal Search Engine. New Scientist (2514), 27 August 2005. [html]
	Jon Gordon. Web Search Gets Personal. Future Tense (broadcast by NPR), 26 August 2005. [audio]
	Jaime Teevan, Susan T. Dumais and Eric Horvitz. Personalizing Search via Automated Analysis of Interests and Activities. In Proceedings of the 28th Annual ACM Conference on Research and Development in Information Retrieval (SIGIR '05), Salvador, Brazil, August 2005 (Presenter). [pdf, slides: ppt]
	Jaime Teevan, Susan T. Dumais and Eric Horvitz. Beyond the Commons: Investigating the Value of Personalizing Web Search. Workshop on New Technologies for Personalized Information Access (PIA '05), Edinburgh, Scotland, UK, July 2005. [pdf]
	Jaime Teevan, Susan T. Dumais and Eric Horvitz. Systems, Methods, and Interfaces for Providing Personalized Search and Information Access. Patent filed October 2004 (Pending).
	Jaime Teevan. Seesaw: Personalized Web Search. Student Workshop for Information Retrieval and Language (SWIRL '04), Amherst, MA, November 2004 (Presenter). [slides: ppt]
	Jaime Teevan. Personalized Web Search: Uncommon Responses to Common Queries. Palo Alto Research Center (PARC), Palo Alto, CA, October 2004 (Presenter). [slides: ppt]
	Jaime Teevan. Personalized Web Search: Uncommon Responses to Common Queries. Yahoo!, Sunnyvale, CA, October 2004 (Presenter). [slides: ppt]
	Jaime Teevan. Personalized Web Search: Uncommon Responses to Common Queries. MIT CSAIL Student Seminar, Cambridge, MA, October 2004 (Presenter). [slides: ppt]
	Jaime Teevan. Personalizing Web Search. Microsoft Research, Seattle, WA, May 2004 (Presenter). [slides: ppt]

RE-FINDING IN A DYNAMIC ENVIRONMENT:

	Sarah K. Tyler and Jaime Teevan. Large Scale Query Log Analysis of Re-Finding. To appear in the Proceedings of the Third ACM International Conference on Web Search and Data Mining (WSDM '10), New York, NY, February 2010. [pdf]
	Jaime Teevan, Susan T. Dumais, Daniel J. Liebling and Richard Hughes. Changing the Way People View Changes on the Web. To appear in Proceedings of the 22nd Annual ACM Symposium on User Interface Software and Technology (UIST '09), Victoria, BC, October 2009 (Presenter). [pdf, slides: ppt]
	Jaime Teevan. Using the Past to Inform Our Future Information Interactions. University of Washington, Seattle, WA, June 2009 (Presenter). [ppt]
	Stefen Wietz and Jaime Teevan. The Changing Web: Effects on Searches. Microsoft Bing, 29 May 2009. [video]
	Eytan Adar, Jaime Teevan and Susan T. Dumais. Resonance on the Web: Web Dynamics and Revisitation Patterns. In Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI '09), Boston, MA, April 2009. [pdf]
	Jaime Teevan, Edward Cutrell, Danyel Fisher, Steven M. Drucker, Gonzalo Ramos, Paul Andre and Chang Hu. Visual Snippets: Summarizing Web Pages for Search and Revisitation. In Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI '09), Boston, MA, April 2009 (Presenter). [pdf, slides: ppt]
	Jaime Teevan. The Web Changes Everything: How Dynamic Content Affects the Way People Find Online. Massachusetts Institute of Technology, Cambridge, MA, April 2009 (Presenter). [slides: ppt, video: mp4]
	Eytan Adar, Jaime Teevan, Susan T. Dumais and Jonathan L. Elsas. The Web Changes Everything: Understanding the Dynamics of Web Content. In Proceedings of the Second ACM International Conference on Web Search and Data Mining (WSDM '09), Barcelona, Spain, February 2009 (Best Student Paper). [pdf]
	Jaime Teevan. How People Recall, Recognize and Reuse Search Results. ACM Transactions on Information Systems (TOIS) special issue on Keeping, Refinding, and Sharing Personal Information, 26(4), September 2008. [pdf]
	Eytan Adar, Jaime Teevan and Susan T. Dumais. Large Scale Analysis of Web Revisitation Patterns. In Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI '08), Florence, Italy, April 2008 (Best Paper). [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. Maintaining Consistency without Stagnation during Exploratory Search. 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. 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 (Presenter). [pdf, slides: ppt, poster: jpg]
	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, slides: ppt]
	Jaime Teevan. The Re:Search Engine -- Helping People Return to Information on the Web. MIT Computer Science and Artificial Intelligence Laboratory Abstract, August 2005. [html]
	Jaime Teevan. Re-finding! Franklin W. Olin College of Engineering, Needham, MA, May 2005 (Presenter). [slides: ppt]
	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. The Student Oxygen Workshop, Gloucester, MA, September 2003. [ps, pdf]
	Jaime Teevan. Displaying Dynamic Information. In Proceedings of ACM Conference on Human Factors in Computing Systems (CHI '01), 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]

SERENDIPITY:

	Paul Andre, m. c. schraefel, Jaime Teevan and Susan T. Dumais. Discovery is Never by Chance: Designing for (Un)Serendipity. In Proceedings of the 7th ACM Creativity and Cognition Conference (CC '09), Berkeley, CA, October 2009. [pdf]
	Paul Andre, Jaime Teevan and Susan T. Dumais. From X-Rays to Silly Putty via Uranus: Serendipity and its Role in Web Search. In Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI '09), Boston, MA, April 2009 (Note). [pdf]

SOCIAL SEARCH:

	Meredith Ringel Morris and Jaime Teevan. Collaborative Search: Who, What, Where, When, and Why. San Rafael, CA: Morgan & Claypool Series on Information Concepts, Retrieval, and Services (Ed. Gary Marchionini), 2010 (In preparation). [pre-order]
	Jaime Teevan, Ivana Marenzi, and Jeremy Pickens. Collaborative Search. The 32nd Annual ACM Conference on Research and Development in Information Retrieval (SIGIR '09) Workshop on Search in Social Media (SSM '09), Boston, MA, July 2009 (Panelist).
	Jaime Teevan, Meredith Ringel Morris and Steve Bush. Discovering and Using Groups to Improve Personalized Search. In Proceedings of the Second ACM International Conference on Web Search and Data Mining (WSDM '09), Barcelona, Spain, February 2009 (Presenter). [pdf, slides: ppt, video: html]
	Meredith Ringel Morris, Jaime Teevan and Steve Bush. Enhancing Collaborative Web Search with Personalization: Groupization, Smart Splitting, and Group Hit-Highlighting. In Proceedings of the 2008 ACM Conference on Computer Supported Cooperative Work (CSCW '08), San Diego, CA, November 2008. [pdf]
	Meredith Ringel Morris and Jaime Teevan. Understanding Groups' Properties as a Means of Improving Collaborative Search Systems. The Joint Conference on Digital Libraries (JCDL '08) Workshop on Collaborative Information Retrieval, Pittsburgh, PA, June 2008. [pdf]
	Meredith Ringel Morris, Jaime Teevan, James W. Mickens, and Saleema Amershi. Using Related Users Data to Enhance Web Search. Patent filed February 2008 (Pending).

PERSONAL INFORMATION MANAGEMENT:

	Deborah Barreau, Jaime Teevan, William Jones, Robert Capra and Kristina Spurgin. Shared Personal Space: Meeting the Needs of Multiple Users and Multiple Purposes. The Annual Meeting of the American Society for Information Science and Technology (ASIST '09), Vancouver, British Columbia, November 2009 (Moderator). [ppt]
	Deborah Barreau, Jaime Teevan and Jacek Gwizdka. Personal Information Management (PIM) 2009. A workshop at the Annual Meeting of the American Society for Information Science & Technology (ASIST '09), Vancouver, British Columbia, November 2009 (Organizer). [html]
	Jaime Teevan. Finding and Re-Finding Personal Information. University of Washington, Seattle, WA, April 2008 (Presenter). [ppt]
	Luca Chittaro. The Disappearing Desktop: An Interview with Jaime Teevan (Microsoft) and William Jones (Univ. Washington). Ile Sole 24 Ore, 6 April 2008. [html]
	Jaime Teevan and William Jones. The Disappearing Desktop (PIM 2008). A workshop at the ACM Conference on Human Factors in Computing Systems (CHI '08), Florence, Italy, April 2008 (Organizer). [pdf, Web site: html, report: pdf, in SIGIR Forum, 42(2), 2008]
	William Jones and Jaime Teevan (Eds.). Personal Information Management. Seattle: University of Washington Press, 2007. [flier, order]
	Jaime Teevan, Robert Capra and Manuel A. Perez-Quinones. "How People Find Personal Information." In William Jones and Jaime Teevan (Eds.), Personal Information Management. Seattle: University of Washington Press, 2007. [order]
	Diane Kelly and Jaime Teevan. "Understanding What Works: Evaluating PIM Tools." In William Jones and Jaime Teevan (Eds.), Personal Information Management. Seattle: University of Washington Press, 2007. [order]
	Judith V. Boettcher, Pam McQuesten, Jaime Teevan and Boris Vilic. Personal Information Management (PIM) with Mobile Devices. Campus Technology, Boston, MA, August 2006 (Panelist). [ppt]
	Jaime Teevan, William Jones and Benjamin B. Bederson (Eds.). Special Issue on Personal Information Management. Communications of the ACM (CACM), 49(1), January 2006.
	Edward Cutrell, Susan T. Dumais and Jaime Teevan. Searching to Eliminate Personal Information Management. Communications of the ACM (CACM), Special Issue on Personal Information Management, 49(1), January 2006.
	William Jones, Mary Czerwinski, Jaime Teevan, Catherine Plaisant, Thomas P. Moran and Alan Dix. The Challenge of Personal Information Management. In Proceedings of the Tenth IFIP TC13 International Conference on Human-Computer Interaction (Interact '05), Rome, Italy, September 2005 (Panelist).

QUERY LOG ANALYSIS:

	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]
	Einat Amitay, G. Craig Murray and Jaime Teevan. Query Log Analysis: Social And Technological Challenges. A workshop at the 16th International World Wide Web Conference (WWW '07), Banf, Canada, May 2007 (Organizer). [html, report: pdf, in SIGIR Forum, 41(2), 2007]
	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]

FACETED SEARCH:

Jaime Teevan, Susan T. Dumais and Zachary Gutt. Challenges for Supporting Faceted Search in Large, Heterogeneous Corpora like the Web. The Second Workshop on Human-Computer Interaction and Information Retrieval (HCIR '08), Redmond, WA, October 2008 (Poster). [pdf, poster: pdf]

INFORMATION RETRIEVAL MODELS:

	Jason D. M. Rennie, Lawrence Shih, Jaime Teevan and David R. Karger. Tackling the Poor Assumptions of Naive Bayes Text Classifiers. In Proceedings of the Twentieth International Conference on Machine Learning (ICML '03), August 2003. [ps, pdf]
	Jaime Teevan and David R. Karger. Empirical Development of an Exponential Probabilistic Model for Text Retrieval: Using Textual Analysis to Build a Better Model. In Proceedings of the 26th Annual ACM Conference on Research and Development in Information Retrieval (SIGIR '03), Toronto, Canada, July 2003 (Presenter). [ps, pdf, slides: ppt]
	Jaime Teevan and David R. Karger Empirical Development of an Exponential Probabilistic Model for Text Retrieval. MIT Laboratory for Computer Science Abstract, March 2003. [pdf]
	Jaime Teevan and David R. Karger. Finding an Exponential Model for Text Retrieval through Textual Analysis. MIT Artificial Intelligence Laboratory Abstract, November 2002. [pdf]
	Jaime Teevan. Improving Information Retrieval with Textual Analysis: Bayesian Models and Beyond. Master's thesis, Massachusetts Institute of Technology, May 2001. [ps, pdf]
	Jaime Teevan. Improving Information Retrieval with Textual Analysis: Bayesian Models and Beyond. MIT EECS Masterworks, Cambridge, MA, April 2001 (Presenter).
	Jaime Teevan. Bayesian Model for Information Retrieval. MIT Artificial Intelligence Laboratory Abstract, November 2000. [pdf, ps]

OBSERVING PEOPLE SEARCH:

	Anne Zelenka. Who Will Own the Search Experience? GigaOM, 18 October 2007. [html]
	Michelle Slatalla. A Narrow Window Into the Future. The New York Times, 26 April 2007. [html]
	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 and Nicholas J. Belkin. Don't Drop the Ball: Re-Finding Personal Information. The PIM Workshop, An NSF Sponsored Invitational Workshop of Personal Information Management (NSF PIM Workshop), Seattle, WA, January 2005 (Presenter). [pdf]
	Jaime Teevan, Christine Alvarado, Mark S. Ackerman and David R. Karger. The Perfect Search Engine Is Not Enough: A Study of Orienteering Behavior in Directed Search. In Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI '04), Vienna, Austria, April 2004 (Presenter). [pdf, slides: ppt]
	Jaime Teevan. The Perfect Search Engine is Not Enough. University of Washington iSchool, Seattle, WA, April 2004 (Presenter). [slides: ppt]
	Mark S. Ackerman, Christine Alvarado, David R. Karger and Jaime Teevan. The Perfect Search Engine is Not Enough: A Study of Orienteering Behavior in Directed Search. MIT Computer Science and Artificial Intelligence Laboratory, March 2004. [pdf]
	Jaime Teevan. Surviving the Information Explosion: How People Find Their Electronic Information. IBM Watson Research Center, Cambridge, MA, June 2003 (Presenter). [abstract: html, slides: ppt]
	Christine Alvarado, Jaime Teevan, Mark S. Ackerman and David R. Karger. Surviving the Information Explosion: How People Find Their Electronic Information. MIT AI Memo AIM-2003-006, April 2003. [ps, pdf]
	Mark S. Ackerman, Christine Alvarado, David R. Karger and Jaime Teevan. Surviving the Information Explosion: How People Find Their Electronic Information. MIT Laboratory for Computer Science Abstract, March 2003. [pdf]
	Mark S. Ackerman, Christine Alvarado, David R. Karger and Jaime Teevan. Surviving the Information Explosion. MIT Artificial Intelligence Laboratory Abstract, November 2002. [pdf]
	Mark S. Ackerman, Christine Alvarado, David R. Karger and Jaime Teevan. Surviving the Information Explosion. MIT Laboratory for Computer Science Abstract, March 2002. [pdf]
	Jaime Teevan and Christine Alvarado. Surviving the Information Explosion. MIT AI Lab Student Seminar, Cambridge, MA, November 2001 (Presenter). [abstract: html, slides: ppt]

IMPLICIT FEEDBACK:

	Nicholas J. Belkin, Ralf Bierig, Georg Buscher, Ludger van Elst, Jacek Gwizdka, Joemon Jose and Jaime Teevan. Understanding the User: Logging and Interpreting User Interactions in Information Search and Retrieval. A workshop at the 32nd Annual ACM Conference on Research and Development in Information Retrieval (SIGIR '09), Boston, MA, July 2009 (Organizer). [html]
	Diane Kelly and Jaime Teevan. Implicit Feedback for Inferring User Preference: A Bibliography. SIGIR Forum, 37(2), 2003. [pdf]
	David Karger and Jaime Teevan. Go to the Source: Capturing User Preferences at the Desktop. The 26th Annual ACM Conference on Research and Development in Information Retrieval (SIGIR '03) Workshop on Implicit Measures of User Interests and Preferences, Toronto, Canada, July 2003.
	Jaime Teevan. Automatic Directory Gatherer. The 21st Annual ACM Conference on Research and Development in Information Retrieval (SIGIR '98) Workshop on Hypertext Information Retrieval for the Web, Melbourne, Australia, August 1998.

CAREER:

	Elisabeth Pain. Academia or Industry? Finding the Right Fit. Science Careers, 22 May 2009. [html]
	Jennifer Mankoff, Jaime Teevan, Benjamin B. Bederson and Gregory D. Abowd. Real Life and Real Work: Real Experiences Negotiating the Competing Needs of Illness, Disability, Children, and Work. At the ACM Conference on Human Factors in Computing Systems (CHI '09), Boston, MA, April 2009 (Panelist).