Using concept lattice for personalized recommendation system design

IEEE Systems Journal

Volumn 11, Issue 1, 2017, Pages 305-314

  Zou, Caifeng ^a   Zhang, Daqiang ^b   Wan, Jiafu ^c   Hassan, Mohammad Mehedi ^d   Lloret, Jaime ^e  

^a Guangdong Mechanical and Electrical College   (China)

^b TONGJI UNIVERSITY   (China)

^c SOUTH CHINA UNIVERSITY OF TECHNOLOGY   (China)

^d KING SAUD UNIVERSITY   (Saudi Arabia)

^e UNIVERSITAT POLITÈCNICA DE VALÈNCIA   (Spain)

Author keywords

Association rule extraction; collaborative filtering recommendation; concept lattice; formal concept analysis (FCA); personalized recommendation system (PRS)

Indexed keywords

ASSOCIATION RULES; COLLABORATIVE FILTERING; RECOMMENDER SYSTEMS;

COLLABORATIVE FILTERING RECOMMENDATIONS; CONCEPT LATTICES; DATA PROCESSING AND ANALYSIS; FORMAL CONCEPT ANALYSES (FCA); PERSONALIZED RECOMMENDATION SYSTEMS; RECOMMENDATION METHODS; RESPONSE CAPABILITY; TRANSACTION DATABASE;

FORMAL CONCEPT ANALYSIS;

EID: 85027436042     PISSN: 19328184     EISSN: 19379234     Source Type: Journal    
DOI: 10.1109/JSYST.2015.2457244     Document Type: Article

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