Collaborative filtering for people-to-people recommendation in online dating: Data analysis and user trial

International Journal of Human Computer Studies

Volumn 76, Issue , 2015, Pages 50-66

  Krzywicki, A ^a   Wobcke, W ^a   Kim, Y S ^b   Cai, X ^a   Bain, M ^a   Mahidadia, A ^a   Compton, P ^a  

^a UNIVERSITY OF NEW SOUTH WALES   (Australia)

^b Keimyung University   (South Korea)

Author keywords

Machine learning; Recommender systems; User study

Indexed keywords

ARTIFICIAL INTELLIGENCE; DATA HANDLING; DECISION TREES; INFORMATION ANALYSIS; LEARNING SYSTEMS; ONLINE SYSTEMS; PURCHASING; RECOMMENDER SYSTEMS; SOCIAL NETWORKING (ONLINE); TREES (MATHEMATICS);

ATTRIBUTE VALUES; BASELINE PROFILES; COLLABORATIVE FILTERING METHODS; EVALUATION METRICS; PRODUCT RECOMMENDATION; PRODUCT RECOMMENDER SYSTEM; STANDARD PROBLEMS; USER STUDY;

COLLABORATIVE FILTERING;

EID: 84921304643     PISSN: 10715819     EISSN: 10959300     Source Type: Journal    
DOI: 10.1016/j.ijhcs.2014.12.003     Document Type: Article

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