Models of Searching and Browsing: Languages, Studies, and Application

Keywords

Computer science, Focus (optics), Machine learning, Information retrieval, Artificial intelligence

References

• Finding Relevant Website QueriesBrian D. Davison, David G. Deschenes, David B. Lewanda — 2003
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• Agglomerative clustering of a search engine query logDoug Beeferman, Adam Berger — 2000
• Query word deletion predictionRosie Jones, Daniel C. Fain — 2003
• Hourly analysis of a very large topically categorized web query logSteven M. Beitzel, Eric C. Jensen, Abdur Chowdhury — 2004
• Web Search Intent Induction via Automatic Query ReformulationHal Daumé, Eric Brill — 2004
• Learning user interaction models for predicting web search result preferencesEugene Agichtein, Eric Brill, Susan Dumais — 2006
• Understanding user goals in web searchDaniel E. Rose, Danny Levinson — 2004
• Implicit user modeling for personalized searchXuehua Shen, Bin Tan, ChengXiang Zhai — 2005
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• Personalizing search via automated analysis of interests and activitiesJaime Teevan, Susan Dumais, Eric Horvitz — 2005
• Evaluating implicit measures to improve web searchSteve Fox, Kuldeep Karnawat, Mark Mydland — 2005
• Automatic identification of user goals in Web searchUichin Lee, Zhenyu Liu, Junghoo Cho — 2005
• Query chains: learning to rank from implicit feedbackFilip Radlinski, Thorsten Joachims — 2005
• Probabilistic query expansion using query logsHang Cui, Ji-Rong Wen, Jian‐Yun Nie — 2002
• Continual computation policies for utility-directed prefetchingEric Horvitz — 1998
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• Discovering Rich Navigation Patterns on a Web SiteK. Chevalier, Cécile Bothorel, V. Corruble — 2003

Cited by

• From search session detection to search mission detectionR R Long — 2013
• Visualising PIM Behaviour with Markov ChainsDavid Elsweiler, Martin Häcker, Stefan Mandl — 2009
• From health search to healthcare: explorations of intention and utilization via query logs and user surveysRyen W. White, Eric Horvitz — 2014
• Modeling and exploting user search behavior for information retrievalJulia Luxenburger, Gerhard Weikum, Dietrich Klakow — 2008
• Analysis of PubMed User Sessions Using a Full-Day PubMed Query Log: A Comparison of Experienced and Nonexperienced PubMed UsersIllhoi Yoo, Abu Saleh Mohammad Mosa — 2015
• Enabling Semantic Analysis of User Browsing Patterns in the Web of DataJulia Hoxha, Martin Junghans, Sudhir Agarwal — 2012
• On extracting session data from activity logsDavid Mehrzadi, Dror G. Feitelson — 2012
• How medical expertise influences web search interactionRyen W. White, Susan Dumais, Jaime Teevan — 2008
• Beyond the session timeout: automatic hierarchical segmentation of search topics in query logsRosie Jones, Kristina Lisa Klinkner — 2008
• Human wayfinding in information networksRobert West, Jure Leskovec — 2012
• Semantic Formalization of Cross-Site User Browsing BehaviorJulia Hoxha, Sudhir Agarwal — 2012
• Query session detection as a cascadeMatthias Hagen, Benno Stein, Tino Rüb — 2011
• Untangling Result List Refinement and Ranking Quality: a Framework for Evaluation and PredictionJiyin He, Marc Bron, Arjen P. de Vries — 2015
• SnipSuggest: Context-Aware Autocompletion for SQLNodira Khoussainova, YongChul Kwon, Magdalena Bałazińska — 2010
• Modeling information-seeker satisfaction in community question answeringEugene Agichtein, Yandong Liu, Jiang Bian — 2009
• Predicting searcher frustrationHenry Feild, James Allan, Rosie Jones — 2010
• Find it if you can: a game for modeling different types of web search success using interaction dataMikhail Ageev, Qi Guo, Dmitry Lagun — 2011
• Ready to buy or just browsing?: detecting web searcher goals from interaction dataQi Guo, Eugene Agichtein — 2010
• Determining the Time Window Threshold to Identify User Sessions of Stakeholders of a Commercial Bank PortalJozef Kapusta, Michal Munk, Peter Švec — 2014
• A user browsing model to predict search engine click data from past observations.Georges Dupret, Benjamin Piwowarski — 2008

Related papers

• Investigating behavioral variability in web searchRyen W. White, Steven M. Drucker — 2007
• Query chains: learning to rank from implicit feedbackFilip Radlinski, Thorsten Joachims — 2005
• Optimizing search engines using clickthrough dataThorsten Joachims — 2002
• Analysis of a very large web search engine query logCraig Silverstein, Hannes Marais, Monika Henzinger — 1999
• Evaluating implicit measures to improve web searchSteve Fox, Kuldeep Karnawat, Mark Mydland — 2005
• Beyond the session timeout: automatic hierarchical segmentation of search topics in query logsRosie Jones, Kristina Lisa Klinkner — 2008
• Learning user interaction models for predicting web search result preferencesEugene Agichtein, Eric Brill, Susan Dumais — 2006
• Characterizing Browsing Strategies in the World-Wide WebLara D. Catledge, James E. Pitkow — 1995