Computer Engineering and Applications ›› 2007, Vol. 43 ›› Issue (4): 4-6.

• 博士论坛 • Previous Articles     Next Articles

Personalized Recommendation of Content Service System for Mobile Phones

LiLi Sun   

  • Received:2006-08-07 Revised:1900-01-01 Online:2007-02-01 Published:2007-02-01
  • Contact: LiLi Sun

移动电话内容服务系统的个性化推荐

陈明 孙丽丽   

  1. 石油大学计算机科学与技术系 中国石油大学(北京)计算机科学与技术系
  • 通讯作者: 孙丽丽

Abstract: Mobile customers can access, purchase and download contents of content service system for mobile phones by mobile net technology. The system is very flexible in space-time, but is distinctly limited in accessing and discovering information. In this paper one personalized recommendation system of content service system for mobile phones is put forward, and the complete process from searching for active users to making recommendation is described. The experimental results show that this system can ensure the quality of recommendation, and can efficiently solve the problems about mobile customers’ limited browse and confusion of resources.

Key words: Personalized Recommendation, Active User, Collaborative Filtering, F1 Value

摘要: 移动电话内容服务系统允许移动用户通过移动互联技术浏览、购买和下载系统内容,是当前移动增值领域研究的热点。具有较强的时空灵活性,但在信息浏览、查找方面存在明显的局限性。文中提出了一个基于移动电话内容服务系统的个性化推荐系统,介绍了从寻找目标用户到实现推荐的全过程。实验结果表明,所介绍的个性化推荐系统可以有助于解决内容服务系统用户访问受限、资源迷茫的问题。

关键词: 个性化推荐, 目标用户, 协同过滤, F1值