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Volumn 11, Issue 2, 2006, Pages 59-80

Utilizing popularity characteristics for product recommendation

Author keywords

Automated product recommendation; Cold starting; Hybrid recommender system; Naive Bayesian; Popularity model; Popularity based recommendation; Sparsity

Indexed keywords


EID: 33846185876     PISSN: 10864415     EISSN: None     Source Type: Journal    
DOI: 10.2753/JEC1086-4415110203     Document Type: Article
Times cited : (59)

References (33)
  • 1
  • 5
    • 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 (2002), 331-370.
    • (2002) User Modeling and User-Adapted Interaction , vol.12 , Issue.4 , pp. 331-370
    • Burke, R.1
  • 6
    • 0033721496 scopus 로고    scopus 로고
    • Web-collaborative filtering: Recommending music by crawling the Web
    • Cohen, W.W., and Fan, W. Web-collaborative filtering: Recommending music by crawling the Web. Computer Networks, 33, 1-6 (2000), 685-698.
    • (2000) Computer Networks , vol.33 , Issue.1-6 , pp. 685-698
    • Cohen, W.W.1    Fan, W.2
  • 7
    • 33846215274 scopus 로고    scopus 로고
    • Cylogy
    • Cylogy. Personalization overview. www.cylogy.com/library/ personalization_overview-kb.pdf.
    • Personalization Overview
  • 8
    • 21844469214 scopus 로고    scopus 로고
    • Collaborative filtering supporting Web site navigation
    • Greco, G.; Greco, S.; and Zumpano, E. Collaborative filtering supporting Web site navigation. AI Communications, 17, 3 (2004), 155-166.
    • (2004) AI Communications , vol.17 , Issue.3 , pp. 155-166
    • Greco, G.1    Greco, S.2    Zumpano, E.3
  • 9
    • 2942590810 scopus 로고    scopus 로고
    • A scalable p2p recommender system based on distributed collaborative filtering
    • Han, P.; Xie, B.; Yang, P.; and Shen, R. A scalable p2p recommender system based on distributed collaborative filtering. Expert Systems with Applications, 27, 2 (2004), 203-210.
    • (2004) Expert Systems With Applications , vol.27 , Issue.2 , pp. 203-210
    • Han, P.1    Xie, B.2    Yang, P.3    Shen, R.4
  • 10
    • 3242713086 scopus 로고    scopus 로고
    • Context boosting collaborative recomendations
    • Hayes, C., and Cunningham, P. Context boosting collaborative recomendations. Knowledge-Based Systems, 17, 2-4 (2004), 131-138.
    • (2004) Knowledge-Based Systems , vol.17 , Issue.2-4 , pp. 131-138
    • Hayes, C.1    Cunningham, P.2
  • 11
  • 13
    • 3042742744 scopus 로고    scopus 로고
    • Latent semantic models for collaborative filtering
    • Hofmann, T. Latent semantic models for collaborative filtering. ACM Transactions on Information Systems, 22, 1 (2004), 89-115.
    • (2004) ACM Transactions on Information Systems , vol.22 , Issue.1 , pp. 89-115
    • Hofmann, T.1
  • 14
    • 33846237451 scopus 로고    scopus 로고
    • A new recommender system to combine content-based and collaborative filtering systems
    • Kim, B.-D., and Kim, S.-O. A new recommender system to combine content-based and collaborative filtering systems. Journal of Database Marketing, 8, 3 (2001), 244-252.
    • (2001) Journal of Database Marketing , vol.8 , Issue.3 , pp. 244-252
    • Kim, B.-D.1    Kim, S.-O.2
  • 17
    • 0036487247 scopus 로고    scopus 로고
    • A Web-based collaborative filtering system
    • Lee, D.-S.; Kim, G.-Y.; and Choi, H.-I. A Web-based collaborative filtering system. Pattern Recognition, 36, 2 (2003), 519-526.
    • (2003) Pattern Recognition , vol.36 , Issue.2 , pp. 519-526
    • Lee, D.-S.1    Kim, G.-Y.2    Choi, H.-I.3
  • 18
    • 9244231155 scopus 로고    scopus 로고
    • A hybrid collaborative filtering method for multiple-interests and multiple-content recommendation in e-commerce
    • Li, Y.; Lu, L.; and Li, X. A hybrid collaborative filtering method for multiple-interests and multiple-content recommendation in e-commerce. Expert Systems with Applications, 28, 1 (2005), 67-77.
    • (2005) Expert Systems With Applications , vol.28 , Issue.1 , pp. 67-77
    • Li, Y.1    Lu, L.2    Li, X.3
  • 19
    • 0029194949 scopus 로고
    • Pointing the way: Active collaborative filtering
    • In I.R. Katz, R. Irvin, R.L. Mack, L. Marks, M.B. Rosson, and J. Nielsen (eds.), New York: ACM Press
    • Maltz, D., and Ehrlich, E. Pointing the way: Active collaborative filtering. In I.R. Katz, R. Irvin, R.L. Mack, L. Marks, M.B. Rosson, and J. Nielsen (eds.), Proceedings of the ACM CHI 95 Human Factors in Computing Systems. New York: ACM Press, 1905, pp. 202-209.
    • (1995) Proceedings of the ACM CHI 95 Human Factors in Computing Systems , pp. 202-209
    • Maltz, D.1    Ehrlich, E.2
  • 23
    • 84879746225 scopus 로고    scopus 로고
    • MovieLens
    • MovieLens. Movielens dataset. www.grouplens.org.
    • Movielens Dataset
  • 24
    • 33846250146 scopus 로고    scopus 로고
    • Qualitative analysis of user-based and item-based prediction algorithms for recommendation systems
    • Paper presented at the Athens, June
    • Papagelis, M.; Plexousakis, D.; Rousidis, I.; and Theoharopoulos, E. Qualitative analysis of user-based and item-based prediction algorithms for recommendation systems. Paper presented at the third Hellenic Data Management Symposium, Athens, June 2004.
    • (2004) Third Hellenic Data Management Symposium
    • Papagelis, M.1    Plexousakis, D.2    Rousidis, I.3    Theoharopoulos, E.4
  • 27
    • 85052617391 scopus 로고    scopus 로고
    • Item-based collaborative filtering recommendation algorithms
    • In V.Y. Shen, N. Saito, M.R. Lyu, and M.E. Zurko (eds.), New York: ACM Press
    • Sarwar, B.; Karypis, G.; Konstan, J.A.; and Riedl, J. Item-based collaborative filtering recommendation algorithms. In V.Y. Shen, N. Saito, M.R. Lyu, and M.E. Zurko (eds.), Proceedings of the Tenth International World Wide Web Conference. New York: ACM Press, 2001, pp. 285-295.
    • (2001) Proceedings of the Tenth International World Wide Web Conference , pp. 285-295
    • Sarwar, B.1    Karypis, G.2    Konstan, J.A.3    Riedl, J.4
  • 28
    • 27444441370 scopus 로고    scopus 로고
    • Croc: A new evaluation criterion for recommender systems
    • Schein, A.I.; Popescul, A.; and Ungar, L.H. Croc: A new evaluation criterion for recommender systems. Electronic Commerce Research, 5, 1 (2005), 51-74.
    • (2005) Electronic Commerce Research , vol.5 , Issue.1 , pp. 51-74
    • Schein, A.I.1    Popescul, A.2    Ungar, L.H.3
  • 30
    • 4444310382 scopus 로고    scopus 로고
    • Collaborative filtering: Theoretical positions and a research agenda in marketing
    • Vezina, R., and Militaru, D. Collaborative filtering: Theoretical positions and a research agenda in marketing. International Journal of Technology Management, 28, 1 (2004), 31-45.
    • (2004) International Journal of Technology Management , vol.28 , Issue.1 , pp. 31-45
    • Vezina, R.1    Militaru, D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.