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Volumn , Issue , 2012, Pages 147-154

Ranking with non-random missing ratings: Influence of popularity and positivity on evaluation metrics

Author keywords

Evaluation; Ranking; Recommender systems

Indexed keywords

DATA SETS; EVALUATION; EVALUATION METRICS; MISSING DATA; PREDICTION TASKS; RANKING; SKEWED DISTRIBUTION;

EID: 84867391520     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2365952.2365982     Document Type: Conference Paper
Times cited : (67)

References (14)
  • 2
    • 78649914423 scopus 로고    scopus 로고
    • Performance of recommender algorithms on top-n recommendation tasks
    • P. Cremonesi, Y. Koren, and R. Turrin. Performance of recommender algorithms on top-n recommendation tasks. In RecSys '10, pages 39-46, 2010.
    • (2010) RecSys '10 , pp. 39-46
    • Cremonesi, P.1    Koren, Y.2    Turrin, R.3
  • 3
    • 75249088154 scopus 로고    scopus 로고
    • A survey of accuracy evaluation metrics of recommendation tasks
    • A. Gunawardana and G. Shani. A survey of accuracy evaluation metrics of recommendation tasks. J. Mach. Learn. Res., 10:2935-2962, 2009.
    • (2009) J. Mach. Learn. Res. , vol.10 , pp. 2935-2962
    • Gunawardana, A.1    Shani, G.2
  • 5
    • 1842637192 scopus 로고    scopus 로고
    • Cumulated gain-based evaluation of IR techniques
    • DOI 10.1145/582415.582418
    • K. Järvelin and J. Kekäläinen. Cumulated gain-based evaluation of ir techniques. ACM Trans. Inf. Syst., 20(4):422-446, Oct. 2002. (Pubitemid 44642296)
    • (2002) ACM Transactions on Information Systems , vol.20 , Issue.4 , pp. 422-446
    • Jarvelin, K.1    Kekalainen, J.2
  • 6
    • 85008044987 scopus 로고    scopus 로고
    • Matrix factorization techniques for recommender systems
    • Y. Koren, R. Bell, and C. Volinsky. Matrix Factorization Techniques for Recommender Systems. Computer, 42(8):30-37, 2009.
    • (2009) Computer , vol.42 , Issue.8 , pp. 30-37
    • Koren, Y.1    Bell, R.2    Volinsky, C.3
  • 8
    • 58149183811 scopus 로고    scopus 로고
    • Collaborative filtering and the missing at random assumption
    • B. Marlin, R. Zemel, S. Roweis, and M. Slaney. Collaborative filtering and the missing at random assumption. In UAI-07, pages 267-275, 2007.
    • (2007) UAI-07 , pp. 267-275
    • Marlin, B.1    Zemel, R.2    Roweis, S.3    Slaney, M.4
  • 9
    • 72249101936 scopus 로고    scopus 로고
    • Collaborative prediction and ranking with non-random missing data
    • B. M. Marlin and R. S. Zemel. Collaborative prediction and ranking with non-random missing data. In RecSys'09, pages 5-12, 2009.
    • (2009) RecSys'09 , pp. 5-12
    • Marlin, B.M.1    Zemel, R.S.2
  • 10
    • 77956193582 scopus 로고    scopus 로고
    • homepage
    • MovieLens data. homepage: http://www.grouplens.org/node/73, 2006.
    • (2006) MovieLens Data
  • 11
    • 77956208065 scopus 로고    scopus 로고
    • Training and testing of recommender systems on data missing not at random
    • H. Steck. Training and testing of recommender systems on data missing not at random. In KDD '10, pages 713-722, 2010.
    • (2010) KDD '10 , pp. 713-722
    • Steck, H.1
  • 12
    • 82555183096 scopus 로고    scopus 로고
    • Item popularity and recommendation accuracy
    • H. Steck. Item popularity and recommendation accuracy. In RecSys '11, pages 125-132, 2011.
    • (2011) RecSys '11 , pp. 125-132
    • Steck, H.1
  • 13
    • 48349104603 scopus 로고    scopus 로고
    • Cofi rank - Maximum margin matrix factorization for collaborative ranking
    • M. Weimer, A. Karatzoglou, Q. V. Le, and A. J. Smola. Cofi rank - maximum margin matrix factorization for collaborative ranking. In NIPS, 2007.
    • (2007) NIPS
    • Weimer, M.1    Karatzoglou, A.2    Le, Q.V.3    Smola, A.J.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.