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Volumn , Issue , 2014, Pages 41-46

An entertainment recommendation system using the dynamics of user behavior over time

Author keywords

Interesting item; Item swarm; Popular item; Recommendation system; User preference

Indexed keywords

BEHAVIORAL RESEARCH; COLLABORATIVE FILTERING; ENTERTAINMENT; LEARNING ALGORITHMS; MACHINE LEARNING;

EID: 84949924304     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCITechn.2014.7073094     Document Type: Conference Paper
Times cited : (1)

References (14)
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    • (2005) Intelligent Techniques for Web Personalization , pp. 169-186
    • Tang, T.1    Winoto, P.2    Chan, K.3
  • 9
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    • A time-based approach to effective recommender systems using implicit feedback
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    • Swarm: Mining relaxed temporal moving object clusters
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.