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Volumn 2005, Issue , 2005, Pages 618-621

Improving the effectiveness of model based recommender systems for highly sparse and noisy web usage data

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SUPPORTED COOPERATIVE WORK; DATA MINING; DATA REDUCTION; FUZZY CONTROL; INFORMATION ANALYSIS; MATHEMATICAL MODELS;

EID: 33748846783     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WI.2005.74     Document Type: Conference Paper
Times cited : (19)

References (14)
  • 1
    • 0001882616 scopus 로고
    • Algorithms for mining association rules
    • Santiago, Sept
    • R. Agrawal, and R. Srikant, "Algorithms for Mining Association Rules", In Proc. VLDB'94, Santiago, Sept 1994.
    • (1994) Proc. VLDB'94
    • Agrawal, R.1    Srikant, R.2
  • 2
    • 0002051628 scopus 로고    scopus 로고
    • Empirical analysis of predictive algorithms for collaborative filtering
    • J. Breese, D. Heckerman, and C. Kadie, "Empirical analysis of predictive algorithms for collaborative filtering", In Proc. UAI, 1998.
    • (1998) Proc. UAI
    • Breese, J.1    Heckerman, D.2    Kadie, C.3
  • 8
    • 3042751278 scopus 로고    scopus 로고
    • Effective personalization based on association rule discovery from web usage data
    • Atlanta, Nov.
    • B. Mobasher, H. Dai, T. Luo, and M. Nakagawa, "Effective Personalization Based on Association Rule Discovery from Web Usage Data", In Proc. ACM WIDM01, Atlanta, Nov. 2001.
    • (2001) Proc. ACM WIDM01
    • Mobasher, B.1    Dai, H.2    Luo, T.3    Nakagawa, M.4
  • 10
    • 0001391984 scopus 로고    scopus 로고
    • Collaborative filtering by personality diagnosis: A hybrid memory- and model-based approach
    • Stanford, CA
    • D. Pennock, E. Horvitz, S. Lawrence, and C. Giles, "Collaborative filtering by personality diagnosis: A hybrid memory- and model-based approach", In Proc. of UAI, Stanford, CA, 2000.
    • (2000) Proc. of UAI
    • Pennock, D.1    Horvitz, E.2    Lawrence, S.3    Giles, C.4
  • 13
    • 33845355685 scopus 로고    scopus 로고
    • An efficient technique for mining usage profiles using relational fuzzy subtractive clustering
    • Tokyo, Japan, Apr.
    • B. S. Suryavanshi, N. Shiri, and S. P. Mudur, "An Efficient Technique for Mining Usage Profiles using Relational Fuzzy Subtractive Clustering", In Proc. WIRI'05, Tokyo, Japan, Apr. 2005.
    • (2005) Proc. WIRI'05
    • Suryavanshi, B.S.1    Shiri, N.2    Mudur, S.P.3
  • 14
    • 51849086084 scopus 로고    scopus 로고
    • A fuzzy hybrid collaborative filtering technique for web personalization
    • Edinburgh, Scotland, Aug.
    • B. S. Suryavanshi, N. Shiri, and S. P. Mudur, "A Fuzzy Hybrid Collaborative Filtering Technique for Web Personalization", In Proc. ITWP'05, Edinburgh, Scotland, Aug. 2005.
    • (2005) Proc. ITWP'05
    • Suryavanshi, B.S.1    Shiri, N.2    Mudur, S.P.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.