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Volumn 12, Issue 1, 2007, Pages 1-8

Personalized Service System Based on Hybrid Filtering for Digital Library

Author keywords

category based collaborative filtering; collaborative filtering; content based filtering; meta information filtering; personalized service system; user preferences model

Indexed keywords

COLLABORATIVE FILTERING; PERSONALIZED SERVICE SYSTEMS; RESOURCE MANAGEMENT SYSTEM;

EID: 34447508330     PISSN: 10070214     EISSN: None     Source Type: Journal    
DOI: 10.1016/S1007-0214(07)70001-9     Document Type: Article
Times cited : (54)

References (15)
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  • 4
    • 0033653019 scopus 로고    scopus 로고
    • Mooney R, Roy L. Content-based book recommending us-ing learning for text categorization. In: Proceedings of Fifth ACM Conference on Digital Libraries. San Antonio, TX, USA, 2000.
  • 5
    • 34447506431 scopus 로고    scopus 로고
    • Melville P, Mooney R J, Nagarajan R. Content-boosted col-laborative filtering. In: Proceedings of the 2001 SIGIR Workshop on Recommender System. New Orleans, LA, USA, 2001.
  • 6
    • 0033325071 scopus 로고    scopus 로고
    • A framework for collaborative, content-based and demographic filtering
    • Pazzani M. A framework for collaborative, content-based and demographic filtering. Artificial Intelligence Review 13 5-6 (1999) 393-408
    • (1999) Artificial Intelligence Review , vol.13 , Issue.5-6 , pp. 393-408
    • Pazzani, M.1
  • 7
    • 0042527667 scopus 로고    scopus 로고
    • A personalized search algorithm by using content-based filtering
    • (in Chinese)
    • Zeng C., Xing C., and Zhou L. A personalized search algorithm by using content-based filtering. Journal of Software 14 5 (2003) 997-1002 (in Chinese)
    • (2003) Journal of Software , vol.14 , Issue.5 , pp. 997-1002
    • Zeng, C.1    Xing, C.2    Zhou, L.3
  • 8
    • 34447523830 scopus 로고    scopus 로고
    • Sarwar B M, Karypis G, Konstan J, et al. Application of dimensionality reduction in recommender system - A case study. In: Proceedings of ACM WebKDD 2000 Web Min-ing for E-Commerce Workshop. Bostom, USA, 2000.
  • 10
    • 0036384150 scopus 로고    scopus 로고
    • Rashid A M, Albert I, Cosley D, et al. Getting to know you: Learning new user preferences in recommender systems. In: Proceedings of IUI'02. San Francisco, California, USA, 2002.
  • 12
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    • Oyanagi S, Kubota K, Nakase A. Application of matrix clustering to web log analysis and access prediction. In: Proceedings of the ACM WebKDD Workshop on Mining Log Data Across All Customer Touch Points. San Francisco, CA, USA, 2001.
  • 14
    • 85015559680 scopus 로고    scopus 로고
    • Herlocker J L, Konstan J, Borchers A, et al. An algorithmic framework for performing collaborative filtering. In: Pro-ceedings of the 1999 SIGIR Conference on Research and Development in Information Retrieval. Berkeley, USA, 1999: 230-237.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.