Paper Info
Title
A Dynamic Personalized News Recommendation System Based on BAP User Profiling Method.
Abstract
In this paper, we propose a user profile model to describe users' preferences from multiple perspectives. Then, we discuss the degree of the user's preferences for historical news, and propose a method to calculate the preference weight of historical news according to the user's reading behavior and the popularity of news. This method could construct user profiles more accurately. Besides, we provide a dynamic method for news recommendation, in which both short-term and long-term user preferences are considered. The experimental results indicate that our method can significantly improve the recommendation effect.
Year
DOI
Venue
2018
10.1109/ACCESS.2018.2858564
IEEE ACCESS
Keywords
Field
DocType
News recommendation,personalization,user profiling method,user behavior
Recommender system,User profile,Information retrieval,Profiling (computer programming),Computer science,Popularity,Computer network,Solid modeling,Dynamic method,Market research,The Internet
Journal
Volume
ISSN
Citations 
6
2169-3536
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Zhi-Liang Zhu169464.61
Deyang Li200.68
jie liang32610.90
Guo-qi Liu4189.39
Hai Yu528317.63