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Volumn , Issue , 2010, Pages 225-228

Evaluating the dynamic properties of recommendation algorithms

Author keywords

Evaluation; Recommender systems; Temporal properties

Indexed keywords

COLLABORATIVE RECOMMENDATION; DYNAMIC ASPECTS; DYNAMIC PROPERTY; EVALUATION; EVALUATION METHOD; LEAVE-ONE-OUT; MATRIX; PREDICTION ALGORITHMS; RECOMMENDATION ALGORITHMS; RECOMMENDER SYSTEMS; SYSTEM LEVELS; TEMPORAL PROPERTY; USER RATING;

EID: 78649917865     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1864708.1864753     Document Type: Conference Paper
Times cited : (38)

References (14)
  • 8
    • 35348969366 scopus 로고    scopus 로고
    • Towards trustworthy recommender systems: An analysis of attack models and algorithm robustness
    • B. Mobasher, R. Burke, R. Bhaumik, and C. Williams. Towards trustworthy recommender systems: An analysis of attack models and algorithm robustness. ACM Trans. On Internet Technology, 7(4), 2007.
    • (2007) ACM Trans. on Internet Technology , vol.7 , Issue.4
    • Mobasher, B.1    Burke, R.2    Bhaumik, R.3    Williams, C.4
  • 9
    • 34548718744 scopus 로고    scopus 로고
    • Scouts, promoters, and connectors: The roles of ratings in nearest-neighbor collaborative filtering
    • B. K. Mohan, B. J. Keller, and N. Ramakrishnan. Scouts, promoters, and connectors: The roles of ratings in nearest-neighbor collaborative filtering. ACM Trans. Web, 1(2):8, 2007.
    • (2007) ACM Trans. Web , vol.1 , Issue.2 , pp. 8
    • Mohan, B.K.1    Keller, B.J.2    Ramakrishnan, N.3
  • 12
    • 42149166795 scopus 로고    scopus 로고
    • The influence limiter: Provably manipulation-resistant recommender systems
    • Minneapolis, October
    • P. Resnick and R. Sami. The influence limiter: provably manipulation-resistant recommender systems. In RecSys '07: Proc. of the 2007 ACM Conf. on Recommender Systems, pages 25-32, Minneapolis, October 2007.
    • (2007) RecSys '07: Proc. of the 2007 ACM Conf. on Recommender Systems , pp. 25-32
    • Resnick, P.1    Sami, R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.