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Volumn , Issue , 2013, Pages 407-410

Selecting content-based features for collaborative filtering recommenders

Author keywords

Cold start; Collaborative filtering; Content based; Feature selection; Recommender systems

Indexed keywords

AUTOMATED SELECTION; COLD START; COLD START PROBLEMS; COMMERCIAL SYSTEMS; CONTENT-BASED; CONTENT-BASED FEATURES; DIFFERENT DOMAINS; FEATURE SELECTION METHODS;

EID: 84887597220     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2507157.2507203     Document Type: Conference Paper
Times cited : (36)

References (18)
  • 5
    • 84887602064 scopus 로고    scopus 로고
    • Yahoo! Music Recommendations: Modeling Music Ratings with Temporal Dynamics and Item Taxonomy. G. Dror, N. Koenigstein, Y. Koren. RecSys 2011.
    • (2011) RecSys
    • Dror, G.1    Koenigstein, N.2    Koren, Y.3
  • 9
    • 84887580200 scopus 로고    scopus 로고
    • Xbox Movies Recommendations: Variational Bayes Matrix Factorization with Embedded Feature Selection. N. Koenigstein, U. Paquet. In RecSys 2013.
    • (2013) RecSys
    • Koenigstein, N.1    Paquet, U.2
  • 12
    • 84887582619 scopus 로고    scopus 로고
    • One-class Collaborative Filtering with Random Graphs. U. Paquet, N. Koenigstein. In WWW 2013, 999-1008.
    • (2013) WWW , pp. 999-1008
    • Paquet, U.1    Koenigstein, N.2
  • 14
    • 84887581012 scopus 로고    scopus 로고
    • Microsoft Patent 339085.01
    • Automatic Feature Selection for Recommender Systems. R. Ronen, N. Koenigstein, E. Ziklik, N. Nice. Microsoft Patent 339085.01, 2013.
    • (2013)
    • Ronen, R.1    Koenigstein, N.2    Ziklik, E.3    Nice, N.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.