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Volumn , Issue , 2013, Pages 1501-1510

TopRec: Domain-specific recommendation through community topic mining in social network

Author keywords

Collaborative Filtering; Probabilistic Topic Modeling; Recommender Systems; Social Network

Indexed keywords

DOMAIN SPECIFIC; HUMAN ACTIVITIES; INTERESTED DOMAINS; MULTIPLE DOMAINS; PROBABILISTIC TOPIC MODELS; SEMI-SUPERVISED; UNIFIED FRAMEWORK; USER-ITEM MATRIX;

EID: 84893107100     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (42)

References (32)
  • 4
    • 41349117788 scopus 로고    scopus 로고
    • Finding community structure in very large networks
    • A. Clauset, M. Newman, and C. Moore. Finding community structure in very large networks. Physical review E, 70(6), 2004.
    • (2004) Physical Review e , vol.70 , Issue.6
    • Clauset, A.1    Newman, M.2    Moore, C.3
  • 12
    • 78649926860 scopus 로고    scopus 로고
    • A matrix factorization technique with trust propagation for recommendation in social networks
    • M. Jamali and M. Ester. A matrix factorization technique with trust propagation for recommendation in social networks. In Proceedings of the fourth ACM conference on Recommender systems, pages 135-142, 2010.
    • (2010) Proceedings of the Fourth ACM Conference on Recommender Systems , pp. 135-142
    • Jamali, M.1    Ester, M.2
  • 15
    • 0037252945 scopus 로고    scopus 로고
    • Amazon.com recommendations: Item-to-item collaborative filtering
    • G. Linden, B. Smith, and J. York. Amazon.com recommendations: item-to-item collaborative filtering. Internet Computing, IEEE, 7:76-80, 2003.
    • (2003) Internet Computing, IEEE , vol.7 , pp. 76-80
    • Linden, G.1    Smith, B.2    York, J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.