微型电脑应用2011，Vol.27Issue(12)：33-35,3.
基于平均差分的协同过滤推荐算法分析与研究
沈浅1
作者信息
- 1. 常州轻工职业技术学院信息工程系,常州,213000
- 折叠
摘要
Abstract
The collaborative filtering technology is the personalized recommendation system is a widely used technology nowadays, the biggest advantageis the recommended object without special requirements, can handle unstructured complex objects, however, prevalent algorithm the data sparseness ,scalability issues affecting the algorithm recommended results. Based on the analysis of the original algorithm is proposed based on an improvedalgorithm -based on a combination of average differential recommendation algorithm, the combination algorithm to some extent alleviate the problem ofthe original algorithm, to improve the quality of the recommended system.关键词
推荐系统/协同过滤/组合推荐/算法Key words
Personalized System/ Collaborative Filtering/ Combination Recommendation/ Algorithm分类
数理科学引用本文复制引用
沈浅..基于平均差分的协同过滤推荐算法分析与研究[J].微型电脑应用,2011,27(12):33-35,3.
