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Volumn 2557, Issue , 2002, Pages 284-296

Prediction of user preference in recommendation system using associative user clustering and Bayesian estimated value

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; BEHAVIORAL RESEARCH; CLASSIFIERS; FORECASTING;

EID: 84943258224     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (15)

References (20)
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    • Recommendation as classification: Using social and content-based information in recommendation
    • Madison, WI
    • C. Basu, et al., "Recommendation as classification: Using social and content-based information in recommendation," In Proc. of the 15th National Conference on AI, pp. 714-720, Madison, WI, 1998.
    • (1998) Proc. of the 15th National Conference on AI , pp. 714-720
    • Basu, C.1
  • 5
    • 0002731035 scopus 로고    scopus 로고
    • Learning collaborative information filters
    • D. Billsus, M. J. Pazzani, Learning Collaborative Information Filters, Proc. of ICML, pp. 46-53, 1998.
    • (1998) Proc. of ICML , pp. 46-53
    • Billsus, D.1    Pazzani, M.J.2
  • 6
    • 0004109771 scopus 로고
    • PhD thesis(Technical Report), Computer Science Dept., Univ. of Massachussetts at Amherst
    • D. D. Lewis, Representation and Learning in Information Retrieval, PhD thesis(Technical Report pp. 91-93, Computer Science Dept., Univ. of Massachussetts at Amherst, 1992.
    • (1992) Representation and Learning in Information Retrieval , pp. 91-93
    • Lewis, D.D.1
  • 10
    • 85015559680 scopus 로고    scopus 로고
    • An algorithm framework for performing collaborative filtering
    • J. Herlocker, et al., •An Algorithm Framework for Performing Collaborative Filtering,• In Proc. of ACM SIGIR'99, 1999.
    • (1999) Proc. of ACM SIGIR'99
    • Herlocker, J.1
  • 12
    • 33751051211 scopus 로고    scopus 로고
    • A new collaborative filtering method using representative attributes-neighborhood and Bayesian estimated value
    • USA, June 24-27
    • K. Y. Jung, J. K. Ryu, and J. H. Lee, "A New Collaborative Filtering Method using Representative Attributes-Neighborhood and Bayesian Estimated Value," Proc. of International Conference on Artificial Intelligence, USA, June 24-27, 2002.
    • (2002) Proc. of International Conference on Artificial Intelligence
    • Jung, K.Y.1    Ryu, J.K.2    Lee, J.H.3
  • 14
    • 0012529599 scopus 로고    scopus 로고
    • Evaluation of item-based top-n recommendation algorithms
    • University of Minnesota
    • G. Karypis, "Evaluation of Item-Based Top-N Recommendation Algorithms," Technical Report CS-TR-00-46, Computer Science Dept., University of Minnesota, 2000.
    • (2000) Technical Report CS-TR-00-46, Computer Science Dept
    • Karypis, G.1
  • 17
    • 0033325071 scopus 로고    scopus 로고
    • A framework for collaborative, content-based and demographic filtering
    • M. Pazzani, "A Framework for Collaborative, Content-Based and Demographic Filtering," AI Review, pp. 393-408, 1999.
    • (1999) AI Review , pp. 393-408
    • Pazzani, M.1
  • 18
    • 0031168547 scopus 로고    scopus 로고
    • Learning and revising user profiles: The identification of interesting web sites
    • Kluwer Academic Publishers
    • M. Pazzani, D. Billsus, Learning and Revising User Profiles: The Identification of Interesting Web Sites, Machine Learning 27, Kluwer Academic Publishers, pp. 313-331, 1997.
    • (1997) Machine Learning , vol.27 , pp. 313-331
    • Pazzani, M.1    Billsus, D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.