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Volumn , Issue , 2010, Pages 257-260

Beyond accuracy: Evaluating recommender systems by coverage and serendipity

Author keywords

Coverage; Evaluation metric; Recommender system; Serendipity

Indexed keywords

COVERAGE; EVALUATION METRICS; LITERATURE REVIEWS; MEASUREMENT METHODS; PREDICTIVE ACCURACY; RECOMMENDER SYSTEMS; SERENDIPITY; USER SATISFACTION;

EID: 78649970493     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1864708.1864761     Document Type: Conference Paper
Times cited : (583)

References (11)
  • 1
    • 20844435854 scopus 로고    scopus 로고
    • Towards the next generation of recommender systems: A survey of the state-ofthe- art and possible extensions
    • Adomavicius, G. and Tuzhilin, A. 2005. Towards the next generation of recommender systems: a survey of the state-ofthe- art and possible extensions. IEEE Transactions on Knowledge and Data Engineering, 17(6), pp. 734-749.
    • (2005) IEEE Transactions on Knowledge and Data Engineering , vol.17 , Issue.6 , pp. 734-749
    • Adomavicius, G.1    Tuzhilin, A.2
  • 8
    • 39649095741 scopus 로고    scopus 로고
    • Accurate is not always good: How Accuracy Metrics have hurt Recommender Systems
    • Quebec, Canada
    • Mcnee S., Riedl J and Konstan J. 2006. Accurate is not always good: How Accuracy Metrics have hurt Recommender Systems, Conference on Human Factors in Computing Systems, Quebec, Canada. pp. 1-5.
    • (2006) Conference on Human Factors in Computing Systems , pp. 1-5
    • McNee, S.1    Riedl, J.2    Konstan, J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.