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Integrating collaborative topic modeling and diversity for movie recommendations during news browsing
Duen-Ren Liu
*
, Yun Cheng Chou
, Ciao Ting Jian
*
此作品的通信作者
資訊管理研究所
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1
引文 斯高帕斯(Scopus)
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Keyphrases
Browsing
100%
News Websites
100%
Collaborative Topic Modeling
100%
Movie Recommendation
100%
Topic Diversity
100%
Online News
60%
Latent Dirichlet Allocation
60%
Online Assessment
60%
Recommendation Diversity
60%
Online Ratings
40%
Recommendation Method
40%
Cross Type
40%
Type Recommendation
40%
Hybrid Method
20%
Association Rule Mining
20%
Design Methodology
20%
Experiment Results
20%
Recommendation Approach
20%
Evaluation Results
20%
Entertainment
20%
Novel Hybrids
20%
Click-through
20%
Hybrid Recommendation
20%
User Satisfaction
20%
News Articles
20%
Commercial Value
20%
Online Decision
20%
Real News
20%
Recommendation Tasks
20%
World News
20%
Computer Science
Topic Modeling
100%
Latent Dirichlet Allocation
75%
Online Evaluation
75%
Association Rules
25%
Evaluation Result
25%
hybrid recommendation
25%
User Satisfaction
25%
Engineering
Dirichlet
100%
Hybrid Method
33%
Cold Start
33%