Recommender system for music CDs using a graph partitioning method

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5712 LNAI, Issue PART 2, 2009, Pages 259-269

  Nakahara, Takanobu ^a   Morita, Hiroyuki ^b  

^a KANSAI UNIVERSITY   (Japan)

^b Osaka Prefecture University   (Japan)

Author keywords

Binary Data; Collaborative filtering; Data mining; Graph partitioning; Recommender system

Indexed keywords

BINARY DATA; CDS; COLLABORATIVE FILTERING; COMPUTATIONAL EXPERIMENT; CUSTOMER LOYALTY; DATA COMPARISONS; E-COMMERCE; GRAPH PARTITIONING; HIGH QUALITY; MUSIC CDS; PARTITIONING METHODS; RECOMMENDER SYSTEMS; TRANSACTION DATA;

ELECTRONIC COMMERCE; KNOWLEDGE BASED SYSTEMS; SALES; SIGNAL FILTERING AND PREDICTION;

KNOWLEDGE ENGINEERING;

EID: 70849105355     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-04592-9_33     Document Type: Conference Paper

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