An improved collaborative filtering recommendation algorithm

被引：0

作者：

Liu, Shulin ^{[1
]}

机构：

[1] Hainan College of Economics and Business, Haikou, China

来源：

International Journal of u- and e- Service, Science and Technology | 2016年 / 9卷 / 03期

关键词：

D O I：

10.14257/ijunesst.2016.9.3.17

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

An improved CF algorithm based on the classification of items is introduced to overcome the problems caused by the data sparseness and inaccuracy of the user neighbors. The new algorithm first rates the unrated items by applying the item classification, and then calculates the user similarity within classes for nearest-neighbors, after which it could recommend the items based on the final prediction. © 2016 SERSC.

引用

页码：169 / 178