2018 - ACM Distinguished Member
2012 - ACM Senior Member
Jaime Teevan mostly deals with Information retrieval, World Wide Web, Search engine, Web search query and Web query classification. He interconnects Information needs and Personalization in the investigation of issues within Information retrieval. The concepts of his World Wide Web study are interwoven with issues in Machine learning, Artificial intelligence and Set.
His work on Search analytics as part of general Search engine study is frequently connected to Personal information management, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them. His Web search query research incorporates elements of Social Semantic Web and Semantic search. His studies deal with areas such as Social media and Social media optimization as well as Web query classification.
His primary scientific interests are in World Wide Web, Information retrieval, Search engine, Crowdsourcing and Human–computer interaction. His work on Web page, Web navigation, Social search and Social network is typically connected to Personal information management as part of general World Wide Web study, connecting several disciplines of science. He combines topics linked to Personalization with his work on Information retrieval.
He is interested in Search analytics, which is a field of Search engine. His Search analytics study incorporates themes from Metasearch engine and Semantic search. His work deals with themes such as Workflow and Data science, which intersect with Crowdsourcing.
His main research concerns Human–computer interaction, Crowdsourcing, Human multitasking, Workflow and World Wide Web. His Human–computer interaction research is multidisciplinary, incorporating elements of Domain, Variety and Information needs. His study in Domain is interdisciplinary in nature, drawing from both Popularity and Personalization.
His Crowdsourcing study integrates concerns from other disciplines, such as Social psychology and Creativity. Jaime Teevan usually deals with Workflow and limits it to topics linked to Scheduling and Software engineering. His World Wide Web research is multidisciplinary, incorporating perspectives in Completion time and Feature.
His scientific interests lie mostly in Workflow, Human–computer interaction, Crowdsourcing, Scheduling and World Wide Web. Jaime Teevan has researched Human–computer interaction in several fields, including Domain knowledge and Action. In his research, Jaime Teevan undertakes multidisciplinary study on Scheduling and Two-level scheduling.
His biological study spans a wide range of topics, including Domain and Variety.
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Tackling the poor assumptions of naive bayes text classifiers
Jason D. M. Rennie;Lawrence Shih;Jaime Teevan;David R. Karger.
international conference on machine learning (2003)
Personalizing search via automated analysis of interests and activities
Jaime Teevan;Susan T. Dumais;Eric Horvitz.
international acm sigir conference on research and development in information retrieval (2005)
Implicit feedback for inferring user preference: a bibliography
Diane Kelly;Jaime Teevan.
international acm sigir conference on research and development in information retrieval (2003)
What do people ask their social networks, and why?: a survey study of status message q&a behavior
Meredith Ringel Morris;Jaime Teevan;Katrina Panovich.
human factors in computing systems (2010)
The perfect search engine is not enough: a study of orienteering behavior in directed search
Jaime Teevan;Christine Alvarado;Mark S. Ackerman;David R. Karger.
human factors in computing systems (2004)
#TwitterSearch: a comparison of microblog search and web search
Jaime Teevan;Daniel Ramage;Merredith Ringel Morris.
web search and data mining (2011)
Systems, methods, and interfaces for providing personalized search and information access
J Horvitz Erik;Brook Steven Jaime;T Dumais Susan;ジェー．ホルビッツ エリック.
Information re-retrieval: repeat queries in Yahoo's logs
Jaime Teevan;Eytan Adar;Rosie Jones;Michael A. S. Potts.
international acm sigir conference on research and development in information retrieval (2007)
Characterizing the influence of domain expertise on web search behavior
Ryen W. White;Susan T. Dumais;Jaime Teevan.
web search and data mining (2009)
To personalize or not to personalize: modeling queries with variation in user intent
Jaime Teevan;Susan T. Dumais;Daniel J. Liebling.
international acm sigir conference on research and development in information retrieval (2008)
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