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Volumn 213, Issue , 2014, Pages 421-431

Probabilistic attribute mapping for cold-start recommendation

Author keywords

Cold start; Latent variable model; Recommender system; User and item features

Indexed keywords

ALGORITHMS; COGNITIVE SYSTEMS; COLLABORATIVE FILTERING; IGNITION; INTELLIGENT SYSTEMS; KNOWLEDGE ENGINEERING; SOCIAL NETWORKING (ONLINE); STARTING;

EID: 84927582143     PISSN: 21945357     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-642-37829-4_36     Document Type: Conference Paper
Times cited : (2)

References (22)
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    • 0037252945 scopus 로고    scopus 로고
    • Amazon. Com recommendations: Item-to-item collaborative filtering
    • Linden G, Smith B, York J (2003) Amazon. com recommendations: item-to-item collaborative filtering. Internet Comput IEEE 7(1):76–80
    • (2003) Internet Comput IEEE , vol.7 , Issue.1 , pp. 76-80
    • Linden, G.1    Smith, B.2    York, J.3
  • 3
    • 38349029576 scopus 로고    scopus 로고
    • Content-based recommendation systems
    • In: Brusilovsky P, Kobsa A, Nejdl W, Springer, Berlin
    • Pazzani M, Billsus D (2007) Content-based recommendation systems. In: Brusilovsky P, Kobsa A, Nejdl W (eds) The adaptive web. Springer, Berlin, pp 325–341
    • (2007) The Adaptive Web , pp. 325-341
    • Pazzani, M.1    Billsus, D.2
  • 4
    • 81055135842 scopus 로고    scopus 로고
    • A comprehensive survey of neighborhood-based recommendation methods
    • In: Ricci F, Springer, Berlin
    • Desrosiers C, Karypis G (2011) A comprehensive survey of neighborhood-based recommendation methods. In: Ricci F (ed) Recommender systems handbook, Springer, Berlin, pp 107–144
    • (2011) Recommender Systems Handbook , pp. 107-144
    • Desrosiers, C.1    Karypis, G.2
  • 7
    • 0034818212 scopus 로고    scopus 로고
    • Unsupervised learning by probabilistic latent semantic analysis
    • Hofmann T (2001) Unsupervised learning by probabilistic latent semantic analysis. Machine Learn 42(1):177–196
    • (2001) Machine Learn , vol.42 , Issue.1 , pp. 177-196
    • Hofmann, T.1
  • 14
    • 85008044987 scopus 로고    scopus 로고
    • Matrix factorization techniques for recommender systems
    • Koren Y, et al (2009) Matrix factorization techniques for recommender systems. Computer 42:30
    • (2009) Computer , vol.42 , pp. 30
    • Koren, Y.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.