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Volumn , Issue , 2012, Pages 2035-2040

Analyzing weighting schemes in collaborative filtering: Cold start, post cold start and power users

Author keywords

cold start; collaborative filtering; diversity; item weighting scheme; popularity; recommender systems; similarity metrics; user modeling

Indexed keywords

COLD START; COLLABORATIVE FILTERING; DIVERSITY; POPULARITY; SIMILARITY METRICS; USER MODELING; WEIGHTING SCHEME;

EID: 84863601432     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2245276.2232114     Document Type: Conference Paper
Times cited : (33)

References (14)
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    • Baltrunas, L.1
  • 7
    • 63449119662 scopus 로고    scopus 로고
    • Improving top-n recommendation techniques using rating variance
    • New York, NY, USA, ACM
    • YoungOk Kwon, 'Improving top-n recommendation techniques using rating variance', in Proc. of the 2008 ACM conference on Recommender systems, RecSys '08, pp. 307-310, New York, NY, USA, (2008). ACM.
    • (2008) Proc. of the 2008 ACM Conference on Recommender Systems, RecSys '08 , pp. 307-310
    • Kwon, Y.1
  • 8
    • 48349093367 scopus 로고    scopus 로고
    • A collaborative filtering framework based on both local user similarity and global user similarity
    • July
    • Heng Luo, Changyong Niu, Ruimin Shen, and Carsten Ullrich, 'A collaborative filtering framework based on both local user similarity and global user similarity', Machine Learning, 72(3), 231-245, (July 2008).
    • (2008) Machine Learning , vol.72 , Issue.3 , pp. 231-245
    • Luo, H.1    Niu, C.2    Shen, R.3    Ullrich, C.4
  • 9
    • 84919421682 scopus 로고    scopus 로고
    • MovieLens retrieved April, 2011
    • MovieLens. MovieLens 10M/100k Data Set README. http://www.grouplens.org/ system/files/README-10M100K.html (retrieved April, 2011).
    • MovieLens 10M/100k Data Set README
  • 10
    • 72249096675 scopus 로고    scopus 로고
    • Recommending new movies: Even a few ratings are more valuable than metadata
    • New York, NY, USA, ACM
    • István Pilászy and Domonkos Tikk, 'Recommending new movies: even a few ratings are more valuable than metadata', in Proc. of the third ACM conference on Recommender systems, RecSys '09, pp. 93-100, New York, NY, USA, (2009). ACM.
    • (2009) Proc. of the Third ACM Conference on Recommender Systems, RecSys '09 , pp. 93-100
    • Pilászy, I.1    Tikk, D.2
  • 14
    • 85132303221 scopus 로고    scopus 로고
    • Feature Weighting and Instance Selection for Collaborative Filtering: An Information-Theoretic Approach*
    • April
    • Kai Yu, Xiaowei Xu, Martin Ester, and Hans-Peter Kriegel, 'Feature Weighting and Instance Selection for Collaborative Filtering: An Information-Theoretic Approach*', Knowledge and Information Systems, 5(2), 201-224, (April 2003).
    • (2003) Knowledge and Information Systems , vol.5 , Issue.2 , pp. 201-224
    • Yu, K.1    Xu, X.2    Ester, M.3    Kriegel, H.-P.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.