Non-negative matrix factorization for collaborative filtering;Factorisation en matrices non négatives pour le filtrage collaborative

CORIA 2006: Actes de la Troisieme Conference en Recherche d'Information et Applications - Proceedings of the Third Conference on Information Retrieval and Applications

Volumn , Issue , 2006, Pages 315-326

  Pessiot, Jean François ^a   Truong, Vinh ^a   Usunier, Nicolas ^a   Amini, Massih Reza ^a   Gallinari, Patrick ^a  

^a UNIVERSITÉ PIERRE ET MARIE CURIE   (France)

Author keywords

Collaborative filtering; Dimensionality reduction; Machine learning

Indexed keywords

COLLABORATIVE FILTERING; COLLABORATIVE FILTERING SYSTEMS; DIMENSIONALITY REDUCTION; DIMENSIONALITY REDUCTION METHOD; HIGHLY-CORRELATED; NONNEGATIVE MATRIX FACTORIZATION;

IMAGE RECOGNITION; INFORMATION RETRIEVAL; LEARNING SYSTEMS;

FACTORIZATION;

EID: 67649960029     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (13)

1. BASILICO J., HOFMANN T., « A joint framework for collaborative and content filtering », SIGIR '04, New York, NY, USA, 2004, ACM Press, p. 550-551.
2. BERRY M., SHAHNAZ F., PAUCA P., PLEMMONS R., « Document Clustering using Nonnegative Matrix Factorization », IPM Journal, 2004.
3. HERLOCKER J. L., KONSTAN J. A., TERVEEN L. G., RIEDL J. T., « Evaluating collaborative filtering recommender systems », ACM Trans. Inf. Syst., vol. 22, 2004.
4. HOFMANN T., « Latent semantic models for collaborative filtering », ACM Trans. Inf. Syst., vol. 22, no 1, 2004, p. 89-115, ACM Press.
5. LEE D. D., SEUNG H. S., « Learning the parts of objects by non-negative matrix factorization », Nature, vol. 401, 1999, p. 788-791.
6. LEE D. D., SEUNG H. S., « Algorithms for Non-negative Matrix Factorization », NIPS, 2000, p. 556-562.
7. MARLIN B., « Collaborative filtering : A machine learning perspective », PhD thesis, University of Toronto, 2004.
8. MARLIN B., « Modeling user rating profiles for collaborative filtering », 2004.
9. POLCICOVÁ G., « Topographic Organization of User Preference Patterns in Collaborative Filtering », PhD thesis, Slovak University of Technology in Brastilava, 2004.
10. SARWAR B., KARYPIS G., KONSTAN J., RIEDL J., « Application of dimensionality reduction in recommender systems-a case study », 2000.
11. SHANI G., HECKERMAN D., BRAFMAN R. I., « An MDP-Based Recommender System », Journal of Machine Learning Research, vol. 6, 2005.
12. SREBRO N., JAAKKOLA T., «Weighted Low-Rank Approximations », ICML, 2003.
13. XU W., LIU X., GONG Y., « Document clustering based on non-negative matrix factorization », SIGIR '03, 2003, p. 267-273.