Research on Collaborative Filtering Algorithm based on Cloud Computing

被引：1
|
作者：
Zhang, Dan [1 ]
机构：
[1] Mudanjiang Normal Univ, Inst Technol, Mudanjiang 157000, Peoples R China
来源：
INTERNATIONAL JOURNAL OF GRID AND DISTRIBUTED COMPUTING | 2016年 / 9卷 / 07期
关键词：
Personalized Recommendation; Collaborative filtering; Item classification; Cloud computing;
D O I：
10.14257/ijgdc.2016.9.7.03
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
In order to solve this problem of cloud model, this paper presents another new collaborative filtering recommendation algorithm by combining the item classification and cloud model. Firstly the algorithm utilizes the item classification information and cloud model to compute items inner-similarity, and then gets the scores from neighbor items which have the highest similarity and uses their scores to forecast the unrated inner-class items. Secondly, the neighbors of user are obtained by computing the inner-class user similarities in the cloud model, providing the final forecast grade and carrying out the recommendation.
引用
收藏
页码：23 / 32
页数：10
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