Hybrid Recommender System based on Fuzzy Clustering and Collaborative Filtering

被引：0

作者：

Verma, Sumit Kumar ^{[1
]}

Mittal, Namita ^{[1
]}

Agarwal, Basant ^{[1
]}

机构：

[1] Malaviya Natl Inst Technol, Dept Comp Engn, Jaipur, Rajasthan, India

来源：

2013 4TH IEEE INTERNATIONAL CONFERENCE ON COMPUTER & COMMUNICATION TECHNOLOGY (ICCCT) | 2013年

关键词：

Recommender System; Collaborative Filtering; Fuzzy Clustering (FCM);

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Recommender systems have achieved widespread success for e-commerce companies. Significant growth of customers and products poses key challenges for recommender system namely sparsity and scalability. In this paper, a hybrid system is proposed that is capable of handling these issues that is based on collaborative filtering and fuzzy c-means clustering algorithms. Experimental results show the effectiveness of the proposed recommender system.

引用

页码：116 / 120

页数：5

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