A Dynamic Personalized News Recommendation System Based on BAP User Profiling Method

A Dynamic Personalized News Recommendation System Based on BAP User Profiling Method

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 readi...

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Bibliographic Details
Main Authors: Zhiliang Zhu, Deyang Li, Jie Liang, Guoqi Liu, Hai Yu
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
News recommendation
personalization
user profiling method
user behavior
Online Access:https://ieeexplore.ieee.org/document/8418455/
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spelling doaj-ed68a8eb63fd42bd8a78dae5696b92112021-03-29T21:20:42ZengIEEEIEEE Access2169-35362018-01-016410684107810.1109/ACCESS.2018.28585648418455A Dynamic Personalized News Recommendation System Based on BAP User Profiling MethodZhiliang Zhu0Deyang Li1https://orcid.org/0000-0003-4483-5379Jie Liang2Guoqi Liu3Hai Yu4https://orcid.org/0000-0002-8024-1781Software College, Northeastern University, Shenyang, ChinaSoftware College, Northeastern University, Shenyang, ChinaSoftware College, Northeastern University, Shenyang, ChinaSoftware College, Northeastern University, Shenyang, ChinaSoftware College, Northeastern University, Shenyang, ChinaIn 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.https://ieeexplore.ieee.org/document/8418455/News recommendationpersonalizationuser profiling methoduser behavior
collection DOAJ
language English
format Article
sources DOAJ
author Zhiliang Zhu
Deyang Li
Jie Liang
Guoqi Liu
Hai Yu
spellingShingle Zhiliang Zhu
Deyang Li
Jie Liang
Guoqi Liu
Hai Yu
A Dynamic Personalized News Recommendation System Based on BAP User Profiling Method
IEEE Access
News recommendation
personalization
user profiling method
user behavior
author_facet Zhiliang Zhu
Deyang Li
Jie Liang
Guoqi Liu
Hai Yu
author_sort Zhiliang Zhu
title A Dynamic Personalized News Recommendation System Based on BAP User Profiling Method
title_short A Dynamic Personalized News Recommendation System Based on BAP User Profiling Method
title_full A Dynamic Personalized News Recommendation System Based on BAP User Profiling Method
title_fullStr A Dynamic Personalized News Recommendation System Based on BAP User Profiling Method
title_full_unstemmed A Dynamic Personalized News Recommendation System Based on BAP User Profiling Method
title_sort dynamic personalized news recommendation system based on bap user profiling method
publisher IEEE
series IEEE Access
issn 2169-3536
publishDate 2018-01-01
description 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.
topic News recommendation
personalization
user profiling method
user behavior
url https://ieeexplore.ieee.org/document/8418455/
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AT guoqiliu adynamicpersonalizednewsrecommendationsystembasedonbapuserprofilingmethod
AT haiyu adynamicpersonalizednewsrecommendationsystembasedonbapuserprofilingmethod
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