微型机与应用2012，Vol.31Issue(22)：60-63,4.
二分网络中基于谱聚类的协同推荐
Collaborative recommend.ation based on spectral clustering in bipartite network
张思明 1游天童1
作者信息
- 1. 福州大学数学与计算机学院,福建福州350108
- 折叠
摘要
Abstract
This paper proposes an approach based on spectral clustering for collaborative recommendation.Firstly,we conduct user-user similarity matnx from item-user bipartite network through one-mode projection. Then we apply spectral clustering method to cluster users into k clusters from the user-user similarity matrix for data smoothing and neighborhood seleetion.At last,we make recommendation for target user based on the rating behavior of nearest neighbors set.Experiment result on MovieLens shows that our proposed approach is better than traditional collaborative filtering algorithm.关键词
协同过滤/谱聚类/推荐算法/平均绝对偏差Key words
collaborative filtering/spectral clustering/recommendation algorithm/MAE分类
信息技术与安全科学引用本文复制引用
张思明,游天童..二分网络中基于谱聚类的协同推荐[J].微型机与应用,2012,31(22):60-63,4.
