Personalized Recommendation of Web Resources Based on Topic Clustering

ZHANG Wan-shan; XIAO Yao; LIANG Jun-jie; YU Dun-hui

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Personalized Recommendation of Web Resources Based on Topic Clustering

更新时间：2026-09-04

- Personalized Recommendation of Web Resources Based on Topic Clustering
- Vol. 32, Issue 4, Pages: 35-39(2015)
- 作者机构：
  
  湖北大学机构计算机与信息工程学院,湖北,武汉,430062
- 作者简介：
- 基金信息：
- DOI：
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- Published：2015
- 稿件说明：
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张万山, 肖瑶, 梁俊杰, 余敦辉. 基于主题聚类的Web资源个性化推荐研究[J]. 微电子学与计算机, 2015, 32(4): 35-39.

ZHANG Wan-shan, XIAO Yao, LIANG Jun-jie, et al. Personalized Recommendation of Web Resources Based on Topic Clustering[J]. 2015, 32(4): 35-39.
张万山, 肖瑶, 梁俊杰, 余敦辉. 基于主题聚类的Web资源个性化推荐研究[J]. 微电子学与计算机, 2015, 32(4): 35-39. DOI：

ZHANG Wan-shan, XIAO Yao, LIANG Jun-jie, et al. Personalized Recommendation of Web Resources Based on Topic Clustering[J]. 2015, 32(4): 35-39. DOI：

摘要

提出了基于主题聚类的Web资源个性化推荐算法PRWRTC(personalized recommendations of Web resource based on Topic clustering)

该算法首先基于Web资源的主题提出Web资源聚类算法

从而提高Web资源聚类的精确度

进而提升Web资源推荐的准确度;然后

基于用户的浏览行为

提出实时获取用户偏好的算法;最后

针对用户偏好的动态演化

在算法中加入了时效的概念

实现了对Web资源的动态推荐.并通过实验验证了该算法的有效性.

Abstract

The PRWRTC(personalized recommendations of Web resource based on Topic clustering) algorithm is proposed in this paper. The Web resources based on the theme of Web resource which can improve the accuracy of Web resources clustering

and can enhance the accuracy of recommended Web resources. On the basis of the users browsing behavior

the algonithm that gets users preferences in real-time is given out. According to the dynamic evolution of user preferences

the concept of efficiency is put into the algorithm

and the dynamic recommendation of Web resources realized. And experiments verify the effectiveness of the algorithm.

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