메뉴 건너뛰기




Volumn 6923 LNAI, Issue PART 2, 2011, Pages 10-19

Semantically enhanced collaborative filtering based on RSVD

Author keywords

dimensionality reduction; Hybrid recommender systems; information retrieval; random indexing; singular value decomposition

Indexed keywords

BEHAVIORAL DATA; COLLABORATIVE FILTERING; COLLABORATIVE FILTERING METHODS; DATA SPARSITY; DIMENSIONALITY REDUCTION; HYBRID METHOD; HYBRID RECOMMENDATION; HYBRID RECOMMENDER SYSTEMS; RANDOM INDEXING; RECOMMENDATION ACCURACY; SINGULAR VALUES; TWO STAGE; WEIGHTED FEATURES;

EID: 80053060916     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-23938-0_2     Document Type: Conference Paper
Times cited : (17)

References (19)
  • 1
    • 20844435854 scopus 로고    scopus 로고
    • Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions
    • DOI 10.1109/TKDE.2005.99
    • Adomavicius, G., Tuzhilin, A.: Toward the Next Generation of Recommender Systems: A Survey of the State-of-the-Art and Possible Extensions. IEEE Transactions on Knowledge and Data Engineering 17(6), 734-749 (2005) (Pubitemid 40860454)
    • (2005) IEEE Transactions on Knowledge and Data Engineering , vol.17 , Issue.6 , pp. 734-749
    • Adomavicius, G.1    Tuzhilin, A.2
  • 2
    • 0031640270 scopus 로고    scopus 로고
    • Recommendation as classification: Using social and content-based information in recommendation
    • Basu, C., Hirsh, H., Cohen, W.: Recommendation as classification: Using social and content-based information in recommendation. In: Fifteenth National Conference on Artificial Intelligence, pp. 714-720 (1998)
    • (1998) Fifteenth National Conference on Artificial Intelligence , pp. 714-720
    • Basu, C.1    Hirsh, H.2    Cohen, W.3
  • 3
    • 0036959356 scopus 로고    scopus 로고
    • Hybrid recommender systems: Survey and experiments
    • Burke, R.: Hybrid Recommender Systems: Survey and Experiments. User Modeling and User-Adapted Interaction 12(4), 331-370 (2002)
    • (2002) User Modeling and User-adapted Interaction , vol.12 , Issue.4 , pp. 331-370
    • Burke, R.1
  • 4
    • 77955469205 scopus 로고    scopus 로고
    • Combining content-based and collaborative recommendations: A hybrid approach based on Bayesian networks
    • Campos, L., Fernandez-Luna, J., Huete, J., Rueda-Morales, M.: Combining content-based and collaborative recommendations: A hybrid approach based on Bayesian networks. Int. J. Approx. Reasoning 51, 785-799 (2010)
    • (2010) Int. J. Approx. Reasoning , vol.51 , pp. 785-799
    • Campos, L.1    Fernandez-Luna, J.2    Huete, J.3    Rueda-Morales, M.4
  • 6
    • 77949262334 scopus 로고    scopus 로고
    • Reflective random indexing and indirect inference: A scalable method for discovery of implicit connections
    • Cohen, T., Schvaneveldt, R., Widdows, D.: Reflective random indexing and indirect inference: A scalable method for discovery of implicit connections. Journal of Biomedical Informatics 43(2), 240-256 (2010)
    • (2010) Journal of Biomedical Informatics , vol.43 , Issue.2 , pp. 240-256
    • Cohen, T.1    Schvaneveldt, R.2    Widdows, D.3
  • 10
    • 85008044987 scopus 로고    scopus 로고
    • Matrix factorization techniques for recommender systems
    • Koren, Y., Bell, R., Volinsky, C.: Matrix factorization techniques for recommender systems. IEEE Computer 42(8), 30-37 (2009)
    • (2009) IEEE Computer , vol.42 , Issue.8 , pp. 30-37
    • Koren, Y.1    Bell, R.2    Volinsky, C.3
  • 11
  • 12
    • 33744922048 scopus 로고    scopus 로고
    • Preserving recommender accuracy and diversity in sparse datasets
    • O'Sullivan, D., Wilson, D., Smyth, B.: Preserving recommender accuracy and diversity in sparse datasets. The International Journal on AI Tools 13(1), 219-235 (2004)
    • (2004) The International Journal on AI Tools , vol.13 , Issue.1 , pp. 219-235
    • O'Sullivan, D.1    Wilson, D.2    Smyth, B.3
  • 13
    • 24944592578 scopus 로고    scopus 로고
    • Alleviating the sparsity problem of collaborative filtering using trust inferences
    • Trust Management: Third International Conference, iTrust 2005, Proceedings
    • Papagelis, M., Plexousakis, D., Kutsuras, T.: Alleviating the Sparsity Problem of Collaborative Filtering Using Trust Inferences. In: Herrmann, P., Issarny, V., Shiu, S.C.K. (eds.) iTrust 2005. LNCS, vol. 3477, pp. 224-239. Springer, Heidelberg (2005) (Pubitemid 41313131)
    • (2005) Lecture Notes in Computer Science , vol.3477 , pp. 224-239
    • Papagelis, M.1    Plexousakis, D.2    Kutsuras, T.3
  • 16
    • 32944470631 scopus 로고    scopus 로고
    • CinemaScreen recommander agent: Combining collaborative and content-based filtering
    • DOI 10.1109/MIS.2006.4
    • Salter, J., Antonopoulos, N.: CinemaScreen Recommender Agent: Combining Collaborative and Content-Based Filtering. IEEE Intelligent Systems 21, 35-41 (2006) (Pubitemid 43261968)
    • (2006) IEEE Intelligent Systems , vol.21 , Issue.1 , pp. 35-41
    • Salter, J.1    Antonopoulos, N.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.