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Online news recommendations based on topic modeling and online interest adjustment
Duen Ren Liu
*
, Yu Shan Liao, Jun Yi Lu
*
此作品的通信作者
資訊管理研究所
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引文 斯高帕斯(Scopus)
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Keyphrases
Online News
100%
Topic Modeling
100%
News Recommendation
100%
Online Media
80%
Media Platforms
80%
Ensemble Model
60%
Browsing
40%
Click-through
40%
Semantic Topics
40%
Online Assessment
40%
Design Methodology
20%
Modeling Method
20%
User Preference
20%
Adjustment Mechanism
20%
Online Ratings
20%
Recommendation Method
20%
Word Embedding
20%
Recommendation System
20%
Preference-based
20%
Latent Topics
20%
Recommendation Quality
20%
Novel Recommendation
20%
Recommendation List
20%
Latent Topic Modeling
20%
List-based
20%
News Articles
20%
Matrix Factorization
20%
Commercial Value
20%
News Recommendation System
20%
Offline Experiments
20%
Computer Science
Topic Modeling
100%
Online Media
100%
Online Evaluation
50%
User Preference
25%
Word Embedding
25%
Matrix Factorization
25%
Engineering
Matrix Factorization
100%