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Volumn , Issue , 2012, Pages 221-224

Local learning of item dissimilarity using content and link structure

Author keywords

Collaborative filtering; Content based recommendation; Information retrieval

Indexed keywords

COLLABORATIVE FILTERING; CONSTRAINED OPTIMIZATION PROBLEMS; CONTENT-BASED; CONTENT-BASED RECOMMENDATION; DISSIMILARITY FUNCTION; GRAPH INFORMATION; LINK PREDICTION; LINK STRUCTURE; LOCAL LEARNING; LOCAL TUNING; LOGISTIC REGRESSIONS; OPTIMAL VALUES; UNDERLYING NETWORKS;

EID: 84867366930     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2365952.2365999     Document Type: Conference Paper
Times cited : (6)

References (7)
  • 3
    • 63449104696 scopus 로고    scopus 로고
    • Choosing attribute weights for item dissimilarity using clikstream data with an application to a product catalog map
    • New York, NY, USA, ACM
    • M. Kagie, M. van Wezel, and P. J. Groenen. Choosing attribute weights for item dissimilarity using clikstream data with an application to a product catalog map. In Proceedings of the 2008 ACM conference on Recommender systems, RecSys '08, pages 195-202, New York, NY, USA, 2008. ACM.
    • (2008) Proceedings of the 2008 ACM Conference on Recommender Systems, RecSys '08 , pp. 195-202
    • Kagie, M.1    Van Wezel, M.2    Groenen, P.J.3
  • 4
    • 18744398132 scopus 로고    scopus 로고
    • The link prediction problem for social networks
    • CIKM 2003: Proceedings of the Twelfth ACM International Conference on Information and Knowledge Management
    • D. Liben-Nowell and J. Kleinberg. The link prediction problem for social networks. In Proceedings of the twelfth international conference on Information and knowledge management, CIKM '03, pages 556-559, New York, NY, USA, 2003. ACM. (Pubitemid 40673595)
    • (2003) International Conference on Information and Knowledge Management, Proceedings , pp. 556-559
    • Liben-Nowell, D.1    Kleinberg, J.2
  • 6
    • 84867349248 scopus 로고    scopus 로고
    • www.cs.umd.edu/projects/linqs/projects/lbc.
  • 7
    • 84867349249 scopus 로고    scopus 로고
    • www.grouplens.org.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.