摘要
回顾了已有的相关反馈技术，在此基础上提出了构造和调整用户兴趣模型的隐式反馈算法，给出了一个基于隐式反馈的InfoAgent的设计实现和实验结果。实验表明隐式反馈技术对提高检索精度有很大的帮助。
The paper firstly reviews existing methods of relevance feedback. Then, a new implicit feedback method for building and modifying user's profiles model is presented. Finally, the implementation and experiment results of InfoAgent based on implicit feedback is introduced. The experiment demonstrates that implicit feedback is helpful to improve retrieval precision.
出处
《计算机工程》
CAS
CSCD
北大核心
2003年第6期158-159,192,共3页
Computer Engineering
关键词
个人信息检索
隐式反馈算法
用户兴趣模型
计算机网络
Information retrieval
Implicit feedback
Relevance feedback
Users profiles model
Reinforcement learning algorithm
