东南大学学报（英文版）2008，Vol.24Issue(3)：351-353,3.
基于用户偏好的个性化网页排序算法
Personalized web pages ranking algorithm based on user preferences
摘要
Abstract
In order to rank searching results according to the user preferences, a new personalized web pages ranking algorithm called PWPR( personalized web page ranking)with the idea of adjusting the ranking scores of web pages in accordance with user preferences is proposed. PWPR assigns the initial weights based on user interests and creates the virtual links and hubs according to user interests. By measuring user click streams, PWPR incrementally reflects users' favors for the personalized ranking.To improve the accuracy of ranking, PWPR also takes collaborative filtering into consideration when the query with similar keywords is submitted by users who have similar user interests. Detailed simulation results and comparison with other algorithms prove that the proposed PWPR can adaptively provide personalized ranking and truly relevant information to user preferences.关键词
网页/用户偏好/排序算法/个性化Key words
web page/user preference/ranking algorithm/per-sonalization分类
信息技术与安全科学引用本文复制引用
朱容波..基于用户偏好的个性化网页排序算法[J].东南大学学报（英文版）,2008,24(3):351-353,3.基金项目
The Natural Science Foundation of South-Central Univer-sity for Nationalities (No. YZZ07006). （No. YZZ07006）
