메뉴 건너뛰기




Volumn 5, Issue 1, 2011, Pages

Comparison of collaborative filtering algorithms: Limitations of current techniques and proposals for scalable, high-performance recommender systems

Author keywords

Collaborative filtering; Recommender systems

Indexed keywords

COLLABORATIVE FILTERING; COLLABORATIVE FILTERING ALGORITHMS; COMPLEX ALGORITHMS; CURRENT TECHNIQUES; EXTRACTING INFORMATION; LARGE AMOUNTS OF DATA; NEW APPROACHES; OTHER ALGORITHMS; PERSONALIZED RECOMMENDATION; USER PROFILE;

EID: 79951865393     PISSN: 15591131     EISSN: 1559114X     Source Type: Journal    
DOI: 10.1145/1921591.1921593     Document Type: Article
Times cited : (420)

References (49)
  • 2
    • 0031103679 scopus 로고    scopus 로고
    • Fab: Content-based, collaborative recommendation
    • BALABANOVIĆ, M. AND SHOHAM, Y. 1997. Fab: content-based, collaborative recommendation. Comm. ACM 40, 3, 66-72.
    • (1997) Comm. ACM , vol.40 , Issue.3 , pp. 66-72
    • Balabanović, M.1    Shoham, Y.2
  • 10
    • 79951895914 scopus 로고    scopus 로고
    • This psychologist might outsmart the math brains competing for the Netflix prize
    • ELLENBERG, J. 2008. This psychologist might outsmart the math brains competing for the Netflix prize. Wired Maga. 16, 3.
    • (2008) Wired Maga , vol.16 , pp. 3
    • Ellenberg, J.1
  • 12
    • 84976789577 scopus 로고
    • Personalized information delivery: An analysis of information filtering methods
    • FOLTZ, P. W. AND DUMAIS, S. T. 1992. Personalized information delivery: an analysis of information filtering methods. Comm. ACM 35, 12, 51-60.
    • (1992) Comm. ACM , vol.35 , Issue.12 , pp. 51-60
    • Foltz, P.W.1    Dumais, S.T.2
  • 15
    • 84976668719 scopus 로고
    • Using collaborative filtering to weave an information tapestry
    • GOLDBERG, D., NICHOLS, D., OKI, B.M., AND TERRY, D. 1992. Using collaborative filtering to weave an information tapestry. Comm. ACM 35, 12, 61-70.
    • (1992) Comm. ACM , vol.35 , Issue.12 , pp. 61-70
    • Goldberg, D.1    Nichols, D.2    Oki, B.M.3    Terry, D.4
  • 16
    • 0002549585 scopus 로고    scopus 로고
    • Eigentaste: A Constant Time Collaborative Filtering Algorithm
    • DOI 10.1023/A:1011419012209
    • GOLDBERG, K., ROEDER, T., GUPTA, D., AND PERKINS, C. 2001. Eigentaste: A constant time collaborative filtering algorithm. Inform. Retr. 4, 2, 133-151. (Pubitemid 33636930)
    • (2001) Information Retrieval , vol.4 , Issue.2 , pp. 133-151
    • Goldberg, K.1    Roeder, T.2    Gupta, D.3    Perkins, C.4
  • 17
    • 3042829247 scopus 로고    scopus 로고
    • An empirical analysis of design choices in neighborhoodbased collaborative filtering algorithms
    • HERLOCKER, J., KONSTAN, J. A., AND RIEDL, J. 2002. An empirical analysis of design choices in neighborhoodbased collaborative filtering algorithms. Inform. Retr. 5, 4, 287-310.
    • (2002) Inform. Retr. , vol.5 , Issue.4 , pp. 287-310
    • Herlocker, J.1    Konstan, J.A.2    Riedl, J.3
  • 20
    • 3042742744 scopus 로고    scopus 로고
    • Latent semantic models for collaborative filtering
    • HOFMANN, T. 2004. Latent semantic models for collaborative filtering. ACM Trans. Inform. Syst. 22, 1, 89-115.
    • (2004) ACM Trans. Inform. Syst. , vol.22 , Issue.1 , pp. 89-115
    • Hofmann, T.1
  • 21
    • 3042819722 scopus 로고    scopus 로고
    • Applying associative retrieval techniques to alleviate the sparsity problem in collaborative filtering
    • HUANG, Z., CHEN, H., AND ZENG, D. 2004. Applying associative retrieval techniques to alleviate the sparsity problem in collaborative filtering. ACM Trans. Inform. Syst. 22, 1, 116-142.
    • (2004) ACM Trans. Inform. Syst. , vol.22 , Issue.1 , pp. 116-142
    • Huang, Z.1    Chen, H.2    Zeng, D.3
  • 22
    • 35348870573 scopus 로고    scopus 로고
    • A comparison of collaborative-filtering algorithms for ecommerce
    • DOI 10.1109/MIS.2007.4338497
    • HUANG, Z., ZENG, D., AND CHEN, H. 2007. A comparison of collaborative-filtering recommendation algorithms for e-commerce. IEEE Intell. Syst. 22, 5, 68-78. (Pubitemid 47581491)
    • (2007) IEEE Intelligent Systems , vol.22 , Issue.5 , pp. 68-78
    • Huang, Z.1    Zeng, D.2    Chen, H.3
  • 27
    • 19944368437 scopus 로고    scopus 로고
    • Shilling recommender systems for fun and profit
    • Thirteenth International World Wide Web Conference Proceedings, WWW2004
    • LAM, S. K. AND RIEDL, J. 2004. Shilling recommender systems for fun and profit. In Proceedings of the 13th International Conference on World Wide Web (WWW'04). ACM, New York, NY, 393-402. (Pubitemid 40752774)
    • (2004) Thirteenth International World Wide Web Conference Proceedings, WWW2004 , pp. 393-402
    • Lam, S.K.1    Riedl, J.2
  • 33
    • 35348969366 scopus 로고    scopus 로고
    • Toward trustworthy recommender systems: An analysis of attack models and algorithm robustness
    • MOBASHER, B., BURKE, R., BHAUMIK, R., AND WILLIAMS, C. 2007. Toward trustworthy recommender systems: An analysis of attack models and algorithm robustness. ACM Trans. Internet Technol. 7, 4, 23.
    • (2007) ACM Trans. Internet Technol. , vol.7 , Issue.4 , pp. 23
    • Mobasher, B.1    Burke, R.2    Bhaumik, R.3    Williams, C.4
  • 47
    • 23144446832 scopus 로고    scopus 로고
    • A regression-based approach for scaling-up personalized recommender systems in e-commerce
    • VUCETIC, S. AND OBRADOVIC, Z. 2000. A regression-based approach for scaling-up personalized recommender systems in e-commerce. In Proceedings of the ACM WebKDD Workshop.
    • (2000) Proceedings of the ACM WebKDD Workshop
    • Vucetic, S.1    Obradovic, Z.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.