计算机与现代化 ›› 2013, Vol. 1 ›› Issue (7): 62-064.doi: 10.3969/j.issn.1006-2475.2013.07.016

• 算法设计与分析 • 上一篇    下一篇

一种个性化推荐改进混合算法

何 磊   

  1. 南昌航空大学信息工程学院,江西南昌330063
  • 收稿日期:2013-02-26 修回日期:1900-01-01 出版日期:2013-07-17 发布日期:2013-07-17

A Personalized Recommend Improved Hybrid Algorithm

HE Lei   

  1. School of Information Engineering, Nanchang Hangkong University, Nanchang 330063, China
  • Received:2013-02-26 Revised:1900-01-01 Online:2013-07-17 Published:2013-07-17

摘要: 综合协同过滤算法和基于网络结构算法,提出全新的混合推荐算法,在对象和对象的相似性基础上考虑了项目之间的作用关系,得到最终改进后的混合算法MIX。通过对数据集的计算,排序值准确性大幅提高,推荐精度得到提高。

关键词: 个性化推荐, 协同过滤, 相似性

Abstract: Integrating classical collaborative filtering algorithm and network-based personal recommendation algorithm, this paper puts forward a new hybrid recommendation algorithm. It considers action relationship between objects in project based on the similarity and gets an improved hybrid algorithm: the MIX. Through the calculation of data set, the accuracy of the order is greatly improved, also the recommend accuracy.

Key words: personalized recommendation, collaborative filtering, similarity