메뉴 건너뛰기




Volumn 22, Issue 1, 2009, Pages 105-114

Recommendation based on rational inferences in collaborative filtering

Author keywords

Collaborative filtering; Interest genre; Preference pattern; Rating pattern; Similarity model

Indexed keywords

FORECASTING; KETONES; SIGNAL FILTERING AND PREDICTION;

EID: 56649119052     PISSN: 09507051     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.knosys.2008.07.004     Document Type: Article
Times cited : (57)

References (23)
  • 1
    • 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 (2003) 76-80
    • (2003) IEEE Internet Computing , pp. 76-80
    • Linden, G.1    Smith, B.2    York, J.3
  • 2
    • 85030174634 scopus 로고    scopus 로고
    • P. Resnick, N. Iacovou, M. Suchak, et al., Grouplens: an open architecture for collaborative filtering of netnews, in: Proc. of ACM CSCW, 1994.
    • P. Resnick, N. Iacovou, M. Suchak, et al., Grouplens: an open architecture for collaborative filtering of netnews, in: Proc. of ACM CSCW, 1994.
  • 3
    • 56649101351 scopus 로고    scopus 로고
    • J.S. Breese, D. Heckerman, C. Kadie, Empirical analysis of predictive algorithms for collaborative filtering, in: Proceeding of the 14th Conference on Uncertainty in Artificial Intelligence, 1998.
    • J.S. Breese, D. Heckerman, C. Kadie, Empirical analysis of predictive algorithms for collaborative filtering, in: Proceeding of the 14th Conference on Uncertainty in Artificial Intelligence, 1998.
  • 4
    • 56649105937 scopus 로고    scopus 로고
    • U. Shardanand, P. Maes, Social information filtering: Algorithms for Automating 'Word of Mouth', in: Proc. of CHI'95, 1995.
    • U. Shardanand, P. Maes, Social information filtering: Algorithms for Automating 'Word of Mouth', in: Proc. of CHI'95, 1995.
  • 6
    • 56649101352 scopus 로고    scopus 로고
    • B. Sarwar, G. Karypis, J. Konstan, Analysis of recommendation algorithms for e-commerce, in: Proc. of ACM E-Commerce, New York, 2000.
    • B. Sarwar, G. Karypis, J. Konstan, Analysis of recommendation algorithms for e-commerce, in: Proc. of ACM E-Commerce, New York, 2000.
  • 7
    • 38049012822 scopus 로고    scopus 로고
    • J.-M. Yang and K.F. Li, An inference-based collaborative filtering approach, in: Proc. of the Third IEEE International Symposium on Dependable, Autonomic and Secure Computing, 2007.
    • J.-M. Yang and K.F. Li, An inference-based collaborative filtering approach, in: Proc. of the Third IEEE International Symposium on Dependable, Autonomic and Secure Computing, 2007.
  • 8
    • 8644230345 scopus 로고    scopus 로고
    • R. Jin, J.Y. Chai, L. Si, An automatic weighting scheme for collaborative filtering, in: Proc. of SIGIR, 2004.
    • R. Jin, J.Y. Chai, L. Si, An automatic weighting scheme for collaborative filtering, in: Proc. of SIGIR, 2004.
  • 10
    • 85052617391 scopus 로고    scopus 로고
    • B. Sarwar, G. Karypis, J. Konstan et al., Item-based collaborative filtering recommendation algorithms, in: Proc. of the WWW Conference, 2001.
    • B. Sarwar, G. Karypis, J. Konstan et al., Item-based collaborative filtering recommendation algorithms, in: Proc. of the WWW Conference, 2001.
  • 11
    • 84862271600 scopus 로고    scopus 로고
    • T. Hofmann, J. Puzicha, Latent class models for collaborative filtering, in: Proc. of International Joint Conference on Artificial Intelligence, 1999.
    • T. Hofmann, J. Puzicha, Latent class models for collaborative filtering, in: Proc. of International Joint Conference on Artificial Intelligence, 1999.
  • 12
    • 1942516799 scopus 로고    scopus 로고
    • L. Si, R. Jin, Product space mixture model for collaborative filtering, in: Proc. of the 20th International Conference on Machine Learning (ICML 2003), 2003.
    • L. Si, R. Jin, Product space mixture model for collaborative filtering, in: Proc. of the 20th International Conference on Machine Learning (ICML 2003), 2003.
  • 13
    • 56649116718 scopus 로고    scopus 로고
    • R. Jin, L. Si, C.X. Zhai, Preference-based graphical models for collaborative filtering, in: Proc. of the Nineteenth Conference on Uncertainty in Artificial Intelligence (UAI2003), 2003.
    • R. Jin, L. Si, C.X. Zhai, Preference-based graphical models for collaborative filtering, in: Proc. of the Nineteenth Conference on Uncertainty in Artificial Intelligence (UAI2003), 2003.
  • 14
    • 33744797084 scopus 로고    scopus 로고
    • A study of mixture models for collaborative filtering
    • Jin R., Si L., and Zhai C. A study of mixture models for collaborative filtering. Information Retrieval 9 3 (2006) 357-382
    • (2006) Information Retrieval , vol.9 , Issue.3 , pp. 357-382
    • Jin, R.1    Si, L.2    Zhai, C.3
  • 15
    • 33750345680 scopus 로고    scopus 로고
    • J. Wang, A.P. de Vries, M.J.T. Reinders, Unifying user-based and item-based collaborative filtering approaches by similarity fusion, in: Proc. of ACM SIGIR'06, 2006.
    • J. Wang, A.P. de Vries, M.J.T. Reinders, Unifying user-based and item-based collaborative filtering approaches by similarity fusion, in: Proc. of ACM SIGIR'06, 2006.
  • 17
    • 84885578920 scopus 로고    scopus 로고
    • G. Xue, C. Lin, Q. Yang, et al., Scalable collaborative filtering using cluster-based smoothing, in: Proc. of ACM SIGIR'05, 2005.
    • G. Xue, C. Lin, Q. Yang, et al., Scalable collaborative filtering using cluster-based smoothing, in: Proc. of ACM SIGIR'05, 2005.
  • 18
    • 3042819722 scopus 로고    scopus 로고
    • Applying associative retrieval techniques to alleviate the sparsity problem in collaborative filtering
    • Huang Z., Chen H., and Zeng D. Applying associative retrieval techniques to alleviate the sparsity problem in collaborative filtering. ACM Transactions on Information Systems 22 1 (2004) 116-142
    • (2004) ACM Transactions on Information Systems , vol.22 , Issue.1 , pp. 116-142
    • Huang, Z.1    Chen, H.2    Zeng, D.3
  • 19
    • 33745872861 scopus 로고    scopus 로고
    • J. Wang, A.P. de Vries, M.J.T. Reinders, A user-item relevance model for log-based collaborative filtering, in: Proc. Of ECIR06, 2006, pp. 37-48.
    • J. Wang, A.P. de Vries, M.J.T. Reinders, A user-item relevance model for log-based collaborative filtering, in: Proc. Of ECIR06, 2006, pp. 37-48.
  • 20
    • 56649101350 scopus 로고    scopus 로고
    • D.M. Pennock, E. Horvitz, S. Lawrence, et al., Collaborative filtering by personality diagnosis: a hybrid memory- and model-mased approach, in: Proc. of the 16th Conference on Uncertainty in Artificial Intelligence, 2000.
    • D.M. Pennock, E. Horvitz, S. Lawrence, et al., Collaborative filtering by personality diagnosis: a hybrid memory- and model-mased approach, in: Proc. of the 16th Conference on Uncertainty in Artificial Intelligence, 2000.
  • 21
    • 56649098121 scopus 로고    scopus 로고
    • MovieLens. Available from: http://www.grouplens.org/node/12. November 2006.
    • MovieLens. Available from: http://www.grouplens.org/node/12. November 2006.
  • 22
    • 56649115090 scopus 로고    scopus 로고
    • Available from: http://guir.berkeley.edu/projects/swami/, 2006.
    • Available from: http://guir.berkeley.edu/projects/swami/, 2006.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.