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Volumn , Issue , 2012, Pages 498-506

Learning binary codes for collaborative filtering

Author keywords

collaborative filtering; discrete optimization; learning binary codes; recommender systems; relaxed solutions

Indexed keywords

COLLABORATIVE FILTERING; DATA SETS; DISCRETE OPTIMIZATION; DISCRETE OPTIMIZATION PROBLEMS; LOSS FUNCTIONS; OPTIMIZATION PROBLEMS; PUBLIC DOMAINS; TIME COMPLEXITY;

EID: 84866013626     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2339530.2339611     Document Type: Conference Paper
Times cited : (118)

References (25)
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    • He, J.1    Liu, W.2
  • 10
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    • J. Kekäläinen. Binary and graded relevance in IR evaluations - Comparison of the effects on ranking of IR systems. Information Processing and Management, 41:1019-1033, 2005.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.