摘要
分析了搜索引擎服务质量不高的原因,提出使用用户兴趣模型提高个性化信息检索质量的方案。设计了一个基于向量空间模型的用户兴趣模型算法,该算法根据页面的反馈度以及关键词在页面中出现的频度和位置计算该关键词的权重,使个性化信息检索效果得到了明显提高。
The thesis analyzes the reasons for the bad quality of search engin,puts forward a program to improve the quality of personalized information search by using the user interest model,and designed a algorithm of the user interest model based on vector space model.This algorithm weighting calculates the weight of the key word according to the feedback and the freguency and position of the key word’s appearance on the page,so that the quality of the personalized information search could be highly improved.
出处
《咸阳师范学院学报》
2009年第6期48-50,共3页
Journal of Xianyang Normal University
基金
陕西省教育厅科研基金项目(08JK481)
咸阳师范学院教学改革基金项目(200802014)
