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Volumn , Issue , 2015, Pages 77-118

Advances in collaborative filtering

Author keywords

[No Author keywords available]

Indexed keywords

FACTORIZATION;

EID: 84956762490     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1007/978-1-4899-7637-6_3     Document Type: Chapter
Times cited : (601)

References (30)
  • 1
    • 12244275962 scopus 로고    scopus 로고
    • A“TiVo: Making Show Recommendations Using a Distributed Collaborative Filtering Architecture”, Proc. 10th ACM SIGKDD
    • Ali, K., and van Stam, W., “TiVo: Making Show Recommendations Using a Distributed Collaborative Filtering Architecture”, Proc. 10th ACM SIGKDD Int. Conference on Knowledge Discovery and Data Mining,. 394–401, 2004.
    • (2004) Int. Conference on Knowledge Discovery and Data Mining , pp. 394-401
    • Ali, K.1    Stam, V.W.2
  • 2
    • 49749086487 scopus 로고    scopus 로고
    • Scalable Collaborative Filtering with Jointly Derived Neighborhood Interpolation Weights
    • Bell, R., and Koren, Y., “Scalable Collaborative Filtering with Jointly Derived Neighborhood Interpolation Weights”, IEEE International Conference on Data Mining (ICDM’07),. 43–52, 2007.
    • (2007) IEEE International Conference on Data Mining (ICDM’07) , pp. 43-52
    • Bell, R.1    Koren, Y.2
  • 3
    • 57349146373 scopus 로고    scopus 로고
    • Lessons from the Netflix Prize Challenge
    • Bell, R., and Koren, Y., “Lessons from the Netflix Prize Challenge”, SIGKDD Explorations 9 (2007), 75–79.
    • (2007) SIGKDD Explorations , vol.9 , pp. 75-79
    • Bell, R.1    Koren, Y.2
  • 8
    • 35348914807 scopus 로고    scopus 로고
    • Google News Personalization: Scalable Online Collaborative Filtering
    • Das, A., Datar, M., Garg, A., and Rajaram, S., “Google News Personalization: Scalable Online Collaborative Filtering”, WWW’07, pp. 271–280, 2007.
    • (2007) WWW’07 , pp. 271-280
    • Das, A.1    Datar, M.2    Garg, A.3    Rajaram, S.4
  • 14
    • 3042742744 scopus 로고    scopus 로고
    • Latent Semantic Models for Collaborative Filtering
    • Hofmann, T., “Latent Semantic Models for Collaborative Filtering”, ACM Transactions on Information Systems 22 (2004), 89–115.
    • (2004) ACM Transactions on Information Systems , vol.22 , pp. 89-115
    • Hofmann, T.1
  • 15
    • 17844390666 scopus 로고    scopus 로고
    • Collaborative Filtering Based on Iterative Principal Component Analysis
    • Kim, D., and Yum, B., “Collaborative Filtering Based on Iterative Principal Component Analysis”, Expert Systems with Applications 28 (2005), 823–830.
    • (2005) Expert Systems with Applications , vol.28 , pp. 823-830
    • Kim, D.1    Yum, B.2
  • 17
    • 77955644905 scopus 로고    scopus 로고
    • Factor in the Neighbors: Scalable and Accurate Collaborative Filtering
    • Koren, Y., “Factor in the Neighbors: Scalable and Accurate Collaborative Filtering ”, ACM Transactions on Knowledge Discovery from Data (TKDD),4(2010):1–24.
    • (2010) ACM Transactions on Knowledge Discovery from Data (TKDD) , vol.4 , pp. 1-24
    • Koren, Y.1
  • 18
    • 0037252945 scopus 로고    scopus 로고
    • Amazon.Com Recommendations: Item-to-Item Collaborative Filtering
    • Linden, G., Smith, B., and York, J., “Amazon.com Recommendations: Item-to-Item Collaborative Filtering”, IEEE Internet Computing 7 (2003), 76–80.
    • (2003) IEEE Internet Computing , vol.7 , pp. 76-80
    • Linden, G.1    Smith, B.2    York, J.3
  • 21
    • 57949113756 scopus 로고    scopus 로고
    • “Improving Regularized Singular Value Decomposition for Collaborative Filtering
    • Paterek, A., “Improving Regularized Singular Value Decomposition for Collaborative Filtering”, Proc. KDD Cup and Workshop, 2007.
    • (2007) Proc. KDD Cup and Workshop
    • Paterek, A.1
  • 24
    • 3042788736 scopus 로고    scopus 로고
    • Application of Dimensionality Reduction in Recommender System – A Case Study
    • Sarwar, B.M., Karypis, G., Konstan, J.A., and Riedl, J., “Application of Dimensionality Reduction in Recommender System – A Case Study”, WEBKDD’2000
    • (2000) WEBKDD
    • Sarwar, B.M.1    Karypis, G.2    Konstan, J.A.3    Riedl, J.4
  • 26
    • 48349120710 scopus 로고    scopus 로고
    • Major Components of the Gravity Recommendation System
    • Takács G., Pilászy I., Németh B. and Tikk, D., “Major Components of the Gravity Recommendation System”, SIGKDD Explorations 9 (2007), 80–84.
    • (2007) SIGKDD Explorations , vol.9 , pp. 80-84
    • Takács, G.1    Pilászy, I.2    Németh, B.3    Tikk, D.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.