基于自相似矩阵的协同过滤推荐算法

doi:10.3969/j.issn.1000-5641.2018.04.012

华东师范大学学报(自然科学版) ›› 2018, Vol. 2018 ›› Issue (4): 120-128,146.doi: 10.3969/j.issn.1000-5641.2018.04.012

基于自相似矩阵的协同过滤推荐算法

张巍, 郑骏, 逄娇娜, 白玥

华东师范大学计算机科学与软件工程学院, 上海 200062

收稿日期:2017-07-12 出版日期:2018-07-25 发布日期:2018-07-19
通讯作者: 郑骏,男,教授,博士生导师,主要研究方向为,Web,开发及应用.E-mail:jzheng@cc.ecnu.edu.cn E-mail:jzheng@cc.ecnu.edu.cn
作者简介:张巍,男,硕士研究生,主要研究方向为Web开发及应用.E-mail:fj1weiwei@163.com

Collaborative filtering recommendation algorithm based on the self-similarity matrix

ZHANG Wei, ZHENG Jun, PANG Jiao-na, BAI Yue

School of Computer Science and Software Engineering, East China Normal University, Shanghai 200062, China

Received:2017-07-12 Online:2018-07-25 Published:2018-07-19

摘要/Abstract

摘要： 针对推荐系统中存在的噪声问题，提出了一种基于自相似矩阵的协同过滤推荐算法.文中的自相似矩阵选取为原始矩阵，滑动窗口选取为评分值的行向量和列向量.通过建立评分值与自相似矩阵之间的线性关系，对原始评分矩阵进行预处理，得到新的评分矩阵.新评分矩阵既保留了原始矩阵的评分信息，同时也削弱了噪声数据对推荐系统的影响.实验表明，通过对原始矩阵的预处理，有效缓解了噪声数据在评分矩阵中所起的作用，提高了推荐系统的性能.

关键词: 推荐系统, 协同过滤, 噪声数据, 自相似矩阵, 预处理

Abstract: A collaborative filtering recommendation algorithm based on self-similar matrices is put forward for the noise problem in the proposed system. In this paper, self-similar matrices are selected as primitive matrices, and the sliding window is chosen as the row vector and column vector of the score. The new score matrix is obtained to preprocess the original scoring matrix to establish the linear relationship between the scoring value and the self-similar matrices. The new scoring matrix preserves the original matrix of scoring information, while weakening the impact of noise data on the recommended system. Experiments show that the pre-processing of the original matrix effectively alleviates the impact of noise in the scoring matrix and improves the performance of the proposed system.

Key words: recommendation system, collaborative filtering, noise data, self-similarity matrix, pre-processing

中图分类号:

TP391

张巍, 郑骏, 逄娇娜, 白玥. 基于自相似矩阵的协同过滤推荐算法[J]. 华东师范大学学报(自然科学版), 2018, 2018(4): 120-128,146.

ZHANG Wei, ZHENG Jun, PANG Jiao-na, BAI Yue. Collaborative filtering recommendation algorithm based on the self-similarity matrix[J]. Journal of East China Normal University(Natural Sc, 2018, 2018(4): 120-128,146.

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基于自相似矩阵的协同过滤推荐算法

Collaborative filtering recommendation algorithm based on the self-similarity matrix

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