A multi-aspect user-interest model based on sentiment analysis and uncertainty theory for recommender systems

2018 ◽  
Vol 20 (4) ◽  
pp. 857-882 ◽  
Author(s):  
Lihua Sun ◽  
Junpeng Guo ◽  
Yanlin Zhu
Keyword(s):  
Sentiment Analysis ◽  
Recommender Systems ◽  
Uncertainty Theory ◽  
User Interest ◽  
Model Based ◽  
Interest Model ◽  
User Interest Model

scholarly journals A novel user-interest model based on mixed measure

2017 ◽  
Vol 887 ◽  
pp. 012061
Author(s):  
Junkai Yi ◽  
Yacong Zhang ◽  
Mingyong Yin ◽  
Xianghui Zhao
Keyword(s):  
User Interest ◽  
Model Based ◽  
Mixed Measure ◽  
Interest Model ◽  
User Interest Model

Study of User Interest Model Based on News Recommendation

2014 ◽  
Vol 644-650 ◽  
pp. 1577-1580
Author(s):  
Rui Rui Cheng ◽  
Hui Ping Chen ◽  
Zhao Hui Wang
Keyword(s):  
Experimental Results ◽  
User Interest ◽  
Model Based ◽  
Interest Model ◽  
User Interest Model ◽  
News Recommendation

In order to improve the accuracy of news recommendation, this paper established a comprehensive user interest model. First,this paper established a stable user interest model based on user browsing habits .Then,the paper also advanced freshness-based tentative recommendations on the basis of news timeliness and mainstream to get the user's temporary interest model. Finally,the paper combined these two models to establish a comprehensive user interest model. Experimental results proved that the proposed method can recommend specific news articles that best meet the user's reading preferences from a large number of the latest published news.

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