Research of Personalized News Recommendation System Based on Hybrid Collaborative Filtering Algorithm

被引：0

作者：

Liu, Shan ^{[1
]}

Dong, Yao ^{[1
]}

Chai, Jianping ^{[1
]}

机构：

[1] Commun Univ China, Sch Informat Engn, Beijing, Peoples R China

来源：

2016 2ND IEEE INTERNATIONAL CONFERENCE ON COMPUTER AND COMMUNICATIONS (ICCC) | 2016年

关键词：

personalized recommendation; collaborative filtering; hybrid recommendation algorithm;

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper introduced the personalized recommendation technology to the news system. Especially, in order to meet the demand of the users' personality and ease the problem of data sparse, the research work proposed the hybrid collaborative filtering algorithm based on news recommendation. By improving correlation coefficient formula via adding news hot parameter when calculating the similarity of users, the hybrid recommendation algorithm is used to forecast users' ratings to make user-rating matrix to non-zero values. Experimental results illustrated that the hybrid recommendation algorithm can effectively increase the accuracy and stability of recommendation so as to achieve better recommendation results.

引用

页码：865 / 869

页数：5

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