Logistic recommendation algorithm based on collaborative filtering

被引：0

作者：

Zhang Xiaoyu ^{[1
]}

Dai Chaofan ^{[1
]}

Zhao yanpeng ^{[1
]}

机构：

[1] Natl Univ Def Technol, Sci & Technol Informat Syst Engn Lab, Changsha 410073, Hunan, Peoples R China

来源：

PROCEEDINGS OF THE 2015 2ND INTERNATIONAL WORKSHOP ON MATERIALS ENGINEERING AND COMPUTER SCIENCES (IWMECS 2015) | 2015年 / 33卷

关键词：

collaborative filtering; classification; Logistic;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Traditional collaborative filtering recommendation technology has lower accuracy and couldn't meet the actual needs. So we convert the recommendation problem into the classification problem. We introduce Logistic classification methods based on the collaborative filtering technology and determine whether the recommending units are recommendable according to personal feature of users and products. The result shows that the method could greatly improve the accuracy of recommendation under the premise to ensure recall.

引用

页码：865 / 868

页数：4

共 8 条

[1] Social Comparisons and Contributions to Online Communities: A Field Experiment on MovieLens [J].