计算机工程与应用 ›› 2008, Vol. 44 ›› Issue (9): 76-79.

• 理论研究 • 上一篇    下一篇

基于隐式反馈的自适应用户兴趣模型

李 峰1,裴 军2,游之洋3   

  1. 1.江苏大学 计算机科学与通信工程学院,江苏 镇江 212013
    2.江苏长江电器股份有限公司,江苏 镇江 212211
    3.清华大学 软件学院,北京 100084
  • 收稿日期:2007-07-18 修回日期:2007-10-19 出版日期:2008-03-21 发布日期:2008-03-21
  • 通讯作者: 李 峰

Adaptive user interest model based on the implicit feedback

LI Feng1,PEI Jun2,YOU Zhi-yang3   

  1. 1.School of Computer Science and Telecommunication Engineering,Jiangsu University,Zhenjiang,Jiangsu 212013,China
    2.Jiangsu Changjiang Electric Co.,Ltd.,Zhenjiang,Jiangsu 212211,China
    3.School of Software,Tsinghua University,Beijing 100084,China
  • Received:2007-07-18 Revised:2007-10-19 Online:2008-03-21 Published:2008-03-21
  • Contact: LI Feng

摘要: 针对现有用户兴趣模型在模型建立以及更新阶段漂移策略的缺陷,设计了一种改进的基于隐式反馈的自适应用户兴趣模型。并将该模型与遗忘策略模型、滑动时间窗口模型和固定比例模型,做了精确率的对比实验,实验结果显示该模型的性能优于其他三个模型。

关键词: 个性化推荐服务, 用户兴趣模型, VSM

Abstract: The article proposes an adaptive user model for dealing with limitation of excursion policy when building and updating step in the user interest model which is based on the implicit feedback.After comparing with forgetting strategy model sliding window model and fixed fraction model,experiment’s result show that the capability of this model is better than the other models.

Key words: personalizes recommendation service, user interest model, Vector Space Model