Group recommendation using feature space representing behavioral tendency and power balance among members

RecSys'11 - Proceedings of the 5th ACM Conference on Recommender Systems

Volumn , Issue , 2011, Pages 101-108

  Seko, Shunichi ^a   Yagi, Takashi ^a   Motegi, Manabu ^a   Muto, Shinyo ^a  

^a NTT CORPORATION   (Japan)

Author keywords

content recommendation; group recommendation; novelty; rating estimation; recommender system

Indexed keywords

CONTENT RECOMMENDATION; FEATURE SPACE; GROUP MEMBERS; GROUP RECOMMENDATION; INDIVIDUAL PREFERENCE; NOVELTY; POWER BALANCE; RATING ESTIMATION; RECOMMENDATION ACCURACY;

RECOMMENDER SYSTEMS;

ALGORITHMS;

EID: 82555204533     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2043932.2043953     Document Type: Conference Paper

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