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Human–computer information retrieval
Results: 571

#	Item
371	Improving Interactive Retrieval by Combining Ranked Lists and Clustering Anton Leuski and James Allan Center for Intelligent Information Retrieval Department of Computer Science University of Massachusetts Add to Reading List Source URL: people.ict.usc.edu Language: English - Date: 2010-04-15 22:00:00 Relevance feedback Relevance Precision and recall Cluster analysis Rocchio Classification Human–computer information retrieval Information science Information retrieval Science
372	Collaborative Future Event Recommendation ∗ † Einat Minkov Add to Reading List Source URL: rvsn.csail.mit.edu Language: English - Date: 2011-05-27 15:14:12 Recommender system Collaborative filtering Personalization PlayStation Home Information science Information retrieval Human–computer interaction
373	Improving the search experience by organizing Web search results with meaningful and stable categories Bill Kules and Ben Shneiderman Add to Reading List Source URL: www.cs.umd.edu Language: English - Date: 2007-01-29 10:18:39 Science Information Internet search engines Ben Shneiderman Exploratory search Google Search Idea Web search engine Information science Information retrieval Human–computer interaction
374	UMass Amherst and UT Austin @ The TREC 2009 Relevance Feedback Track Marc-Allen Cartright and Jangwon Seo Matthew Lease Center for Intelligent Information Retrieval School of Information Add to Reading List Source URL: trec.nist.gov Language: English - Date: 2010-02-03 09:45:07 Query expansion Learning to rank Document retrieval Relevance Search engine indexing Text Retrieval Conference Recommender system Query likelihood model Human–computer information retrieval Information science Information retrieval Relevance feedback
375	Nuno Santos, Alan † Mislove , Marcel Dischinger, and Krishna P. Gummadi Add to Reading List Source URL: www.mpi-sws.org Language: English - Date: 2008-04-14 10:41:59 Human–computer interaction Internet Information retrieval Personalization World Wide Web Recommender system Tor Anonymity Social networking service Internet privacy Software Computing
376	INTERACTIVE INFORMATION ORGANIZATION: TECHNIQUES AND EVALUATION A Dissertation Presented by ANTON LEUSKI Add to Reading List Source URL: people.ict.usc.edu Language: English - Date: 2010-04-15 22:00:00 Information Relevance feedback Relevance Precision and recall Document clustering Cluster analysis Query expansion Ranking Human–computer information retrieval Information science Information retrieval Science
377	Microsoft Word - F097-capra-v2.doc Add to Reading List Source URL: fredstutzman.com.s3.amazonaws.com Language: English - Date: 2013-05-15 17:12:28 Science Information Usability Exploratory search Faceted search User interface Faceted classification Human factors Graphical user interface Information science Human–computer interaction Information retrieval
378	Relevance and Reinforcement in Interactive Browsing Anton Leuski Center for Intelligent Information Retrieval Department of Computer Science University of Massachusetts Amherst, MA[removed]USA Add to Reading List Source URL: people.ict.usc.edu Language: English - Date: 2010-04-15 22:00:00 Information Relevance feedback Relevance Precision and recall Text Retrieval Conference Document retrieval Document classification Recommender system Human–computer information retrieval Information science Information retrieval Science
379	CUSTOMER PROFILE Bluegame expands both product volume and customization capabilities with Synergy “Synergy enabled us to quickly respond to change requests on external Add to Reading List Source URL: www.synergyresources.net Language: English - Date: 2014-04-07 17:03:24 Information retrieval Personalization World Wide Web Synergy Business Information science Human–computer interaction
380	User Modeling and User-Adapted Interaction 14: 259^288, 2004. # 2004 Kluwer Academic Publishers. Printed in the Netherlands[removed]Interactive Information Retrieval Using Clustering Add to Reading List Source URL: people.ict.usc.edu Language: English - Date: 2010-04-15 22:00:00 Relevance Document clustering Ranking function Document retrieval Cluster analysis Human–computer information retrieval Information science Information retrieval Science

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