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Volumn 54, Issue 9, 2011, Pages 1535-1546

A content-boosted collaborative filtering approach for movie recommendation based on local and global similarity and missing data prediction

Author keywords

collaborative filtering; Floyd Warshall algorithm; Pearson correlation coefficient; recommender systems; sparsity; user modelling

Indexed keywords

COLLABORATIVE FILTERING; FLOYD-WARSHALL ALGORITHMS; PEARSON CORRELATION COEFFICIENTS; SPARSITY; USER MODELLING;

EID: 80052581041     PISSN: 00104620     EISSN: 14602067     Source Type: Journal    
DOI: 10.1093/comjnl/bxr001     Document Type: Article
Times cited : (23)

References (19)
  • 1
    • 36448972659 scopus 로고    scopus 로고
    • Effective missing data prediction for collaborative filtering
    • Amsterdam, The Netherlands, July 23-27, ACM Press, NewYork, NY
    • Ma, H., King, I. and Lyu, M.R. (2007) Effective Missing Data Prediction for Collaborative Filtering. Proc. 30th Annual Int. ACM SIGIR, Amsterdam, The Netherlands, July 23-27, pp. 39-46. ACM Press, NewYork, NY.
    • (2007) Proc. 30th Annual Int. ACM SIGIR , pp. 39-46
    • Ma, H.1    King, I.2    Lyu, M.R.3
  • 2
    • 48349093367 scopus 로고    scopus 로고
    • A collaborative filtering framework based on both local user similarity and global user similarity
    • Luo, H., Niu, C., Shen, R. and Ullrich, C. (2008)A collaborative filtering framework based on both local user similarity and global user similarity. Machine Learning 72(3), 231-245.
    • (2008) Machine Learning , vol.72 , Issue.3 , pp. 231-245
    • Luo, H.1    Niu, C.2    Shen, R.3    Ullrich, C.4
  • 3
    • 0036959356 scopus 로고    scopus 로고
    • Hybrid recommender systems: Survey and experiments
    • Burke, R. (2002) Hybrid recommender systems: Survey and experiments. User Model. User-Adapt. Interact., 12, 331-370.
    • (2002) User Model. User-Adapt. Interact. , vol.12 , pp. 331-370
    • Burke, R.1
  • 4
    • 20844435854 scopus 로고    scopus 로고
    • Toward the next generation of recommender systems: A survey of the state-ofthe- art and possible extensions
    • Adomavicius, G. and Tuzhilin, A. (2005) Toward the next generation of recommender systems: A survey of the state-ofthe- art and possible extensions. IEEE Trans. Knowl. Data Eng., 17, 734-749.
    • (2005) IEEE Trans. Knowl. Data Eng. , vol.17 , pp. 734-749
    • Adomavicius, G.1    Tuzhilin, A.2
  • 6
    • 84873459337 scopus 로고    scopus 로고
    • Hybrid collaborative and content-based movie recommendation using probabilistic model with latent user preferences
    • Victoria, Alberta, Canada, October 8-12
    • Yoshii, K., Goto, M., Komatani, K., Ogata, T. and Okuno, H.G. (2006) Hybrid Collaborative and Content-Based Movie Recommendation Using Probabilistic Model with Latent User Preferences. Proc. 7th Int. Conf. Music Information Retrieval (ISMIR), Victoria, Alberta, Canada, October 8-12, pp. 296-301.
    • (2006) Proc. 7th Int. Conf. Music Information Retrieval (ISMIR) , pp. 296-301
    • Yoshii, K.1    Goto, M.2    Komatani, K.3    Ogata, T.4    Okuno, H.G.5
  • 7
    • 37249036549 scopus 로고    scopus 로고
    • Ahybrid approach formovie recommendation
    • Lekakos, G. and Caravelas, P. (2008)Ahybrid approach formovie recommendation. Multimedia Tools Appl., 36, 55-70.
    • (2008) Multimedia Tools Appl. , vol.36 , pp. 55-70
    • Lekakos, G.1    Caravelas, P.2
  • 8
    • 0036932094 scopus 로고    scopus 로고
    • Content- boosted collaborative filtering for improved recommendation
    • Edmonton, Canada, July 28-August 1, American Association for Artificial Intelligence (AAAI) Press, Menlo Park, CA
    • Melville, P., Mooney, R.J. and Nagarajan, R. (2002) Content- Boosted Collaborative Filtering for Improved Recommendation. Proc. National Conf. Artificial Intelligence, Edmonton, Canada, July 28-August 1, pp.187-192. American Association for Artificial Intelligence (AAAI) Press, Menlo Park, CA.
    • (2002) Proc. National Conf. Artificial Intelligence , pp. 187-192
    • Melville, P.1    Mooney, R.J.2    Nagarajan, R.3
  • 9
    • 80052562663 scopus 로고    scopus 로고
    • The Internet Movie Database (IMDb)
    • The Internet Movie Database (IMDb). http://www.imdb.com.
  • 11
    • 80052581938 scopus 로고    scopus 로고
    • IMDbPY
    • IMDbPY. http://imdbpy.sourceforge.net/.
  • 12
    • 57349175840 scopus 로고    scopus 로고
    • Feature weighting in content based recommendation system using social network analysis
    • Beijing, China, April 21-25, ACM Press, NewYork, NY
    • Debnath, S., Ganguly, N. and Mitra, P. (2008) FeatureWeighting in Content Based Recommendation System Using Social Network Analysis. Proc. 17th Int. Conf. World Wide Web (WWW'08), Beijing, China, April 21-25, pp. 1041-1042. ACM Press, NewYork, NY.
    • (2008) Proc. 17th Int. Conf. World Wide Web (WWW'08) , pp. 1041-1042
    • Debnath, S.1    Ganguly, N.2    Mitra, P.3
  • 13
    • 8644228708 scopus 로고    scopus 로고
    • A collaborative filtering algorithm and evaluation metric that accurately model the user experience
    • Sheffield, UK, July 25-29, ACM Press, NewYork, NY
    • McLaughlin, M.R. and Herlocker, J.L. (2004) A Collaborative FilteringAlgorithm and Evaluation Metric that Accurately Model the User Experience. 27th Annual Int.ACMSIGIR Conf. Research and Development in Information Retrieval, Sheffield, UK, July 25-29, pp. 329-336. ACM Press, NewYork, NY.
    • (2004) 27th Annual Int. ACMSIGIR Conf. Research and Development in Information Retrieval , pp. 329-336
    • McLaughlin, M.R.1    Herlocker, J.L.2
  • 14
    • 84945709831 scopus 로고
    • Algorithm 97: Shortest path
    • Floyd, R.W. (1962) Algorithm 97: Shortest path. Commun. ACM, 5, 345-348.
    • (1962) Commun. ACM , vol.5 , pp. 345-348
    • Floyd, R.W.1
  • 15
    • 80052567405 scopus 로고    scopus 로고
    • MovieLens
    • MovieLens. www.movielens.umn.edu.
  • 17
    • 85030174634 scopus 로고
    • Grouplens: An open architecture for collaborative filtering of netnews
    • Chapel Hill, NC, USA, October 22-26, ACM Press, NewYork, NY
    • Resnick, P., Iacovou, N., Suchak, M., Bergstrom, P. and Riedl, J. (1994) GroupLens: An Open Architecture for Collaborative Filtering of Netnews. Proc. ACM Conf. Computer Supported Cooperative Work, Chapel Hill, NC, USA, October 22-26, pp. 175-186. ACM Press, NewYork, NY.
    • (1994) Proc. ACM Conf. Computer Supported Cooperative Work , pp. 175-186
    • Resnick, P.1    Iacovou, N.2    Suchak, M.3    Bergstrom, P.4    Riedl, J.5
  • 18
    • 85052617391 scopus 로고    scopus 로고
    • Item- based collaborative filtering recommendation algorithms
    • Hong Kong, May 1-5, WWW10 Ltd., Kowloon, Hong Kong
    • Sarwar, B., Karypis, G., Konstan, J. and Riedl, J. (2001) Item- Based Collaborative Filtering Recommendation Algorithms. Proc. 10th Int. Conf. World Wide Web (WWW'01), Hong Kong, May 1-5, pp. 285-295. WWW10 Ltd., Kowloon, Hong Kong.
    • (2001) Proc. 10th Int. Conf. World Wide Web (WWW'01) , pp. 285-295
    • Sarwar, B.1    Karypis, G.2    Konstan, J.3    Riedl, J.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.