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Volumn 2006, Issue , 2006, Pages 691-692

Improving personalized web search using result diversification

Author keywords

Personalized web search; Result diversity

Indexed keywords

DATA STRUCTURES; INFORMATION RETRIEVAL SYSTEMS; ONLINE SEARCHING; WEB BROWSERS; HUMAN COMPUTER INTERACTION; INFORMATION RETRIEVAL; NUMERICAL METHODS;

EID: 33750340233     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1148170.1148320     Document Type: Conference Paper
Times cited : (217)

References (7)
  • 2
    • 0032270694 scopus 로고    scopus 로고
    • The use of MMR, diversity-based reranking for reordering documents and producing summaries
    • Poster
    • J. Carbonell and J. Goldstein. The use of MMR, diversity-based reranking for reordering documents and producing summaries. In Poster at SIGIR, 1998.
    • (1998) SIGIR
    • Carbonell, J.1    Goldstein, J.2
  • 3
    • 19944401575 scopus 로고    scopus 로고
    • Adaptive web search based on user profile constructed without any effort from users
    • K. Sugiyama, K. Hatano, and M. Yoshikawa. Adaptive web search based on user profile constructed without any effort from users. In International World Wide Web Conference, pages 675-684, 2004.
    • (2004) International World Wide Web Conference , pp. 675-684
    • Sugiyama, K.1    Hatano, K.2    Yoshikawa, M.3
  • 5
    • 84885664744 scopus 로고    scopus 로고
    • Personalizing search via automated analysis of interests and activities
    • J. Teevan, S. T. Dumais, and E. Horvitz. Personalizing search via automated analysis of interests and activities. In SIGIR 2005, pages 449-456, 2005.
    • (2005) SIGIR 2005 , pp. 449-456
    • Teevan, J.1    Dumais, S.T.2    Horvitz, E.3
  • 6
    • 0036989637 scopus 로고    scopus 로고
    • Novelty and redundancy detection in adaptive filtering
    • Y. Zhang, J. Callan, and T. Minka. Novelty and redundancy detection in adaptive filtering. In SIGIR 2002, pages 81-88, 2002.
    • (2002) SIGIR 2002 , pp. 81-88
    • Zhang, Y.1    Callan, J.2    Minka, T.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.