基于用户浏览行为的用户模型调整算法研究

个性化信息服务越来越成为信息检索领域中研究的热点。针对用户模型构造问题,文章结合手工定制建模与自动分析建模技术;并改进文档特征向量的权重计算方式,提高特征向量表示文档的能力;并结合用户浏览行为的页面反馈度计算,提出了一种用户模型智能调整算法。模拟实验表明,该结构和算法能够有效地提高检索结果的准确度,并且具有良好的可适应性。

Research of Adjustment Algorithm for User Model Based on Users Browsing Behavior

Personalized information service increasingly become a hot area of the information search field.For the problem of user model construction,the paper combines the techniques of manual modeling and automated analysis modeling.In the calculation of key words＇ weight factor,the concept of position gene which can improve the ability of representing document by feature vectors has been introduced,and combines the calculation of the degree of user browsing behavior feedback page.This paper proposes a user model of intelligent adjustment algorithm.Simulation results show that this structure and algorithm can effectively improve the accuracy of search results and have good adaptability.