Improving pairwise learning for item recommendation from implicit feedback

WSDM 2014 - Proceedings of the 7th ACM International Conference on Web Search and Data Mining

Volumn , Issue , 2014, Pages 273-282

  Rendle, Steffen ^a,b   Freudenthaler, Christoph ^a  

^a UNIVERSITY OF KONSTANZ   (Germany)

^b GOOGLE INC   (United States)

Author keywords

factorization model; item recommendation; matrix factorization; recommender systems

Indexed keywords

DATA MINING; ITERATIVE METHODS; RECOMMENDER SYSTEMS; WEBSITES;

EFFICIENT IMPLEMENTATION; FACTORIZATION MODEL; ITEM POPULARITIES; ITEM RECOMMENDATION; MATRIX FACTORIZATIONS; PAIRWISE LEARNING; PREDICTION QUALITY; STOCHASTIC GRADIENT DESCENT;

LEARNING ALGORITHMS;

EID: 84906871528     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2556195.2556248     Document Type: Conference Paper

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