Mining clickthrough data for collaborative web search

Proceedings of the 15th International Conference on World Wide Web

Volumn , Issue , 2006, Pages 947-948

  Sun, Jian Tao ^a   Wang, Xuanhui ^b   Shen, Dou ^c   Zeng, Hua Jun ^a   Chen, Zheng ^a  

^a MICROSOFT RESEARCH ASIA   (China)

^b University of Illinois at Urbana Champaign   (United States)

^c HONG KONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Hong Kong)

Author keywords

Clickthrough data; Collaborative web search; Cube clustering

Indexed keywords

BOOST SEARCH; CLICKTHROUGH DATA; COLLABORATIVE WEB SEARCH; CUBE-CLUSTERING; CLUSTER STRUCTURE; CLUSTERING APPROACH; CO-OCCURRENCE; GROUP BEHAVIOR; HISTORY DATA; PROBABILISTIC MODELING; PROBABILISTIC RELATIONS; REAL-WORLD; SEARCH ACTIVITY; SEARCH PERFORMANCE; WEB OBJECTS; WEB PAGE; WEB SEARCHES;

COMPUTER SUPPORTED COOPERATIVE WORK; PROBABILISTIC LOGICS; QUERY LANGUAGES; SEARCH ENGINES; SEMANTIC WEB; USER INTERFACES; WEB SERVICES; WEBSITES; GEOMETRY; INFORMATION RETRIEVAL; MINING;

DATA MINING; WORLD WIDE WEB;

EID: 34250622875     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1135777.1135958     Document Type: Conference Paper

References (3)

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3. B. Smyth, E. Balfe, O. Boydell, K. Bradley, P. Briggs, M. Coyle, and J. Freyne. A live-user evaluation of collaborative web search. In IJCAI, pages 1419-1424, 2005.