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Volumn , Issue , 2003, Pages 652-658

Similarity measure and instance selection for collaborative filtering

Author keywords

collaborative filtering; instance selection; similarity measure

Indexed keywords

COLLABORATIVE FILTERING ALGORITHMS; CONVERSION METHODS; INSTANCE SELECTION; K-NEAREST NEIGHBOR METHOD; K-NEAREST NEIGHBORS; RESEARCH AND APPLICATION; SIMILARITY MEASURE;

EID: 84880494961     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/775152.775243     Document Type: Conference Paper
Times cited : (46)

References (24)
  • 1
    • 0006544679 scopus 로고    scopus 로고
    • Automatic personalization based on Web usage mining
    • Aug.
    • Mobasher, B., Colley, R., and Srivastava, J. Automatic personalization based on Web usage mining. Communications of the ACM, Aug. 2000, 43(8): 142-152.
    • (2000) Communications of the ACM , vol.43 , Issue.8 , pp. 142-152
    • Mobasher, B.1    Colley, R.2    Srivastava, J.3
  • 3
    • 0003433012 scopus 로고    scopus 로고
    • Technical Report IJS-DP-7472, J. Stefan Institute, Department for Intelligent Systems, Ljubljana
    • Mladenic, D. Personal WebWatcher: design and implementation. Technical Report IJS-DP-7472, J. Stefan Institute, Department for Intelligent Systems, Ljubljana, 1998.
    • (1998) Personal WebWatcher: Design and Implementation
    • Mladenic, D.1
  • 8
    • 0031103679 scopus 로고    scopus 로고
    • Fab: Content-based, Collaborative Recommendation
    • Mar.
    • Balabanovic, M., Shoham, Y. Fab: Content-based, Collaborative Recommendation. Communication of the ACM, Mar. 1997, 40(3): 66-72.
    • (1997) Communication of the ACM , vol.40 , Issue.3 , pp. 66-72
    • Balabanovic, M.1    Shoham, Y.2
  • 18
    • 0002409860 scopus 로고    scopus 로고
    • A Probabilistic Analysis of the Rocchio Algorithm with TFIDF for Text Categorization
    • San Francisco: Morgan Kaufmann Publishers
    • Joachims, T. A Probabilistic Analysis of the Rocchio Algorithm with TFIDF for Text Categorization. In Proceedings of the 14th International Conference on Machine Learning. San Francisco: Morgan Kaufmann Publishers, 1997. 143-151.
    • (1997) Proceedings of the 14th International Conference on Machine Learning , pp. 143-151
    • Joachims, T.1
  • 24
    • 84880477572 scopus 로고    scopus 로고
    • EachMovie data http://research.compaq.com/SRC/eachmovie.
    • EachMovie Data


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.