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Volumn , Issue , 2008, Pages 432-436

Choice of metrics used in collaborative filtering and their impact on recommender systems

Author keywords

Collaborative filtering; Correlation; Cosine; Metrics; Recommender systems

Indexed keywords

DIGITAL ARITHMETIC; INFORMATION RETRIEVAL SYSTEMS; SIGNAL FILTERING AND PREDICTION;

EID: 56749143764     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/DEST.2008.4635147     Document Type: Conference Paper
Times cited : (38)

References (18)
  • 2
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    • CinemaScreen Recommender Agent: Combining Collaborative and Content-Based Filtering
    • January/February
    • J. Salter, N. Antonopoulus, "CinemaScreen Recommender Agent: Combining Collaborative and Content-Based Filtering", IEEE Intelligent Systems, January/February, 2006, pages 35-41
    • (2006) IEEE Intelligent Systems , pp. 35-41
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  • 7
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    • Toward the Next Generation of Recommender Systems: A survey of the state-of-the-art and possible extensions
    • June
    • Adomavicius, A. Tuzhilin, "Toward the Next Generation of Recommender Systems: a survey of the state-of-the-art and possible extensions", IEEE Transactions on Knowledge and Data Enginnering, vol. 17, no. 6, June, 2005, pages 734-749
    • (2005) IEEE Transactions on Knowledge and Data Enginnering , vol.17 , Issue.6 , pp. 734-749
    • Adomavicius, A.T.1
  • 10
    • 38048999204 scopus 로고    scopus 로고
    • Location-Based Recommendation System Using Bayesian User's Preference Model in Mobile Devices
    • August
    • M.H. Park, J.H. Hong, S.B. Cho, "Location-Based Recommendation System Using Bayesian User's Preference Model in Mobile Devices", Lecture Notes on Computer Science, vol. 4611, August, 2007, pages 1130-1139
    • (2007) Lecture Notes on Computer Science , vol.4611 , pp. 1130-1139
    • Park, M.H.1    Hong, J.H.2    Cho, S.B.3
  • 11
    • 0141887092 scopus 로고    scopus 로고
    • The Collaborative Filtering Recommendation Based on SOM Cluster-Indexing CBR
    • H.R. Tae, J.O. Kyong, H. Ingoo, "The Collaborative Filtering Recommendation Based on SOM Cluster-Indexing CBR", Expert Systems with Applications, vol. 25, 2003, pages 413-423
    • (2003) Expert Systems with Applications , vol.25 , pp. 413-423
    • Tae, H.R.1    Kyong, J.O.2    Ingoo, H.3
  • 12
    • 0038220049 scopus 로고    scopus 로고
    • Fuzzy Logic Methods in Recommender Systems
    • June
    • R.R. Yager, "Fuzzy Logic Methods in Recommender Systems", Fuzzy Sets and Systems, vol. 136, no. 2, June, 2003, pages 133-149
    • (2003) Fuzzy Sets and Systems , vol.136 , Issue.2 , pp. 133-149
    • Yager, R.R.1
  • 13
    • 3042829247 scopus 로고    scopus 로고
    • An empirical Analysis of Design Choices in Neighborhood-based Collaborative Filtering Algorithms
    • J. Herlocker, J. Konstan, J. Riedl, "An empirical Analysis of Design Choices in Neighborhood-based Collaborative Filtering Algorithms", Information Retrieval, vol.5, no. 4, 2002, pp. 287-310
    • (2002) Information Retrieval , vol.5 , Issue.4 , pp. 287-310
    • Herlocker, J.1    Konstan, J.2    Riedl, J.3
  • 14
    • 33646261139 scopus 로고    scopus 로고
    • Improving the Prediction Accuracy of Recommendation Algorithms: Approaches Anchored on Human Factors
    • Lekakos, G.M. Giaglis, "Improving the Prediction Accuracy of Recommendation Algorithms: Approaches Anchored on Human Factors", Interacting with Computers, vol. 18, no. 3, 2006, pages 410-431
    • (2006) Interacting with Computers , vol.18 , Issue.3 , pp. 410-431
    • Lekakos, G.M.G.1
  • 16
    • 38849088174 scopus 로고    scopus 로고
    • Improving Accuracy of Recommender Systems by Clustering Items Based on Stability of User Similarity
    • Web Technologies and Internet Commerce
    • T.K. Quan, I. Fuyuki, H. Shinichi, "Improving Accuracy of Recommender Systems by Clustering Items Based on Stability of User Similarity", in Proceedings of the IEEE International Conference on Intelligent Agents, Web Technologies and Internet Commerce, 2006
    • (2006) Proceedings of the IEEE International Conference on Intelligent Agents
    • Quan, T.K.1    Fuyuki, I.2    Shinichi, H.3
  • 18
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    • http://www.movielens.org


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.