An improved switching hybrid recommender system using Naive Bayes classifier and collaborative filtering

Proceedings of the International MultiConference of Engineers and Computer Scientists 2010, IMECS 2010

Volumn , Issue , 2010, Pages 493-502

  Ghazanfar, Mustansar Ali ^a   Prügel Bennett, Adam ^a  

^a UNIVERSITY OF SOUTHAMPTON   (United Kingdom)

Author keywords

Collaborative filtering; Content based filtering; Hybrid recommender systems; Naive Bayes classifier

Indexed keywords

COLD START PROBLEMS; COLLABORATIVE FILTERING; CONTENT BASED FILTERING; CONTENT INFORMATION; CONTENT-BASED; DATA MINING TECHNIQUES; DATA SETS; DATA SPARSITY; HYBRID RECOMMENDATION APPROACHES; HYBRID RECOMMENDER SYSTEMS; INDIVIDUAL SYSTEMS; MACHINE-LEARNING; NAIVE BAYES CLASSIFICATION; NAIVE BAYES CLASSIFIERS; OTHER ALGORITHMS; RECOMMENDATION ALGORITHMS; RECOMMENDATION TECHNIQUES;

ALGORITHMS; CONTENT BASED RETRIEVAL; DATA MINING; ENGINEERS;

RECOMMENDER SYSTEMS;

EID: 77956460191     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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