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Volumn , Issue , 2002, Pages 127-134

Getting to know you: Learning new user preferences in recommender systems

Author keywords

Collaborative filtering; Entropy; Information filtering; Recommender systems; Startup problem; User modeling

Indexed keywords

ALGORITHMS; COMPUTER SUPPORTED COOPERATIVE WORK; DECISION THEORY; PROBLEM SOLVING;

EID: 0036384150     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (480)

References (17)
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    • Balabanovic, M., and Shoham, Y. 1997. Fab: Content-based, collaborative recommendation. Communications of the ACM, 40(3), 66-72.
    • (1997) Communications of the ACM , vol.40 , Issue.3 , pp. 66-72
    • Balabanovic, M.1    Shoham, Y.2
  • 3
    • 0017933553 scopus 로고    scopus 로고
    • Myopic policies in sequential classification
    • Ben-Bassat, M. Myopic Policies in Sequential Classification. IEEE Transactions on Computers, 27(2), 170-174.
    • IEEE Transactions on Computers , vol.27 , Issue.2 , pp. 170-174
    • Ben-Bassat, M.1
  • 7
    • 0010551427 scopus 로고    scopus 로고
    • The maximum entropy approach and probabilistic IR methods
    • Greiff, W. R., and Ponte, J. The Maximum Entropy Approach and Probabilistic IR Methods. ACM Transactions on Information Systems 18(3) 246-287.
    • ACM Transactions on Information Systems , vol.18 , Issue.3 , pp. 246-287
    • Greiff, W.R.1    Ponte, J.2
  • 8
    • 0010585856 scopus 로고    scopus 로고
    • Towards case-based preference elicitation: Similarity measures on preference structures
    • Ha, V., and Haddawy P. Towards Case-Based Preference Elicitation: Similarity Measures on Preference Structures. Proceedings UAI 1998, 193-201.
    • (1998) Proceedings UAI 1998 , pp. 193-201
    • Ha, V.1    Haddawy, P.2
  • 10
    • 84989536264 scopus 로고
    • The maximum entropy principle in informational retrieval
    • Kantor, P. B., and Lee, J. J. The Maximum Entropy Principle In Informational Retrieval. Proceedings of ACM SIGIR 1986, 269-274.
    • (1986) Proceedings of ACM SIGIR 1986 , pp. 269-274
    • Kantor, P.B.1    Lee, J.J.2
  • 11
    • 0035747556 scopus 로고    scopus 로고
    • Evaluation of item-based top-N recommendation algorithms
    • Karypis, G. Evaluation of Item-Based Top-N Recommendation Algorithms. Proceedings of CIKM 2001.
    • (2001) Proceedings of CIKM 2001
    • Karypis, G.1
  • 14
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    • Collaborative filtering by personality diagnosis: A hybrid memory- and model-based approach
    • Pennock, D., and Horvitz, E. Collaborative Filtering by Personality Diagnosis: A Hybrid Memory- and Model-based Approach. Proceedings of UAI 2000, 473-480.
    • (2000) Proceedings of UAI 2000 , pp. 473-480
    • Pennock, D.1    Horvitz, E.2
  • 17
    • 0032673856 scopus 로고    scopus 로고
    • Collecting user access patterns for building user profiles and collaborative filtering
    • Wasfi. A. M. A. Collecting User Access Patterns for Building User Profiles and Collaborative Filtering. Proceedings of IUI 1999, 57-64.
    • (1999) Proceedings of IUI 1999 , pp. 57-64
    • Wasfi, A.M.A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.