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Volumn , Issue , 2015, Pages

Feature enhanced time-aware recommender system

Author keywords

collaborative filtering; data mining; information filtering; Machine learning; predictive models; Recommender systems

Indexed keywords

ARTIFICIAL INTELLIGENCE; COLLABORATIVE FILTERING; DATA MINING; FORECASTING; LEARNING SYSTEMS; RECOMMENDER SYSTEMS;

EID: 84960896408     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICAT.2015.7340527     Document Type: Conference Paper
Times cited : (5)

References (15)
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  • 2
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    • Koren, Y.1
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    • Liu, N.N.1    Zhao, M.2    Xiang, E.W.3    Yang, Q.4
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    • (2011) Engineering Applications of Artificial Intelligence. , vol.24 , Issue.8 , pp. 1385-1397
    • Blanco, Y.1    López-Nores, M.2    Pazos-Arias, J.3    Garciá-Duque, J.4
  • 8
    • 84946206377 scopus 로고    scopus 로고
    • An Approach to design of time-aware recommender system based on changes in group user's preferences
    • Sarajevo, Bosnia and Herzegovina
    • Karahodža B, Šupic H., onko Dž., An Approach to design of time-aware recommender system based on changes in group user's preferences. In: X International Symposium on Telecommunications-BIHTEL 2014, Sarajevo, Bosnia and Herzegovina, 2014.
    • (2014) X International Symposium on Telecommunications-BIHTEL 2014
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  • 9
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.