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CGMF: Coupled group-based matrix factorization for recommender system
Fangfang LI
,
Guandong XU
, Longbing CAO
, Xiaozhong FAN
, Zhendong NIU
Offices of the President (P)
Research output
:
Chapter in Book/Report/Conference proceeding
›
Chapters
10
Citations (Scopus)
Overview
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Dive into the research topics of 'CGMF: Coupled group-based matrix factorization for recommender system'. Together they form a unique fingerprint.
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Keyphrases
Social Relationships
100%
Social Influence
100%
Group-based
100%
Recommender Systems
100%
Social Recommender Systems
100%
Matrix Factorization
100%
Copyright
50%
Underlying Assumptions
50%
Social Networking
50%
User Groups
50%
User Tastes
50%
Topic Modeling
50%
Active Research
50%
Item Group
50%
Publicly Available Data
50%
Matrix Factorization Model
50%
Computer Science
Recommender Systems
100%
Social Relation
100%
Matrix Factorization
100%
Social Recommender System
100%
Research Topic
50%
Topic Modeling
50%
Underlying Assumption
50%
Social Networking (Online)
50%
Active Research
50%
Matrix Factorization Model
50%