基于语义扩展的网页标签推荐系统

J4 ›› 2012, Vol. 34 ›› Issue (10): 145-149.

基于语义扩展的网页标签推荐系统

钱程,阳小兰

(武昌理工学院信息工程学院，湖北武汉 430223）

收稿日期:2012-04-25 修回日期:2012-07-10 出版日期:2012-10-25 发布日期:2012-10-25

Web Tag Recommendation System Based on Semantic Extension

QIAN Cheng,YANG Xiaolan

(School of Information and Engineering,Wuchang University of Technology,Wuhan 430223,China)

Received:2012-04-25 Revised:2012-07-10 Online:2012-10-25 Published:2012-10-25

摘要/Abstract

摘要：

网页广告与当前页面内容不匹配使得广告的投放效果降低。本文使用基于站点的贝叶斯模型扩展和基于维基百科的语义扩展两种方法，精确提取网页的标签信息，用更加精确的标签去匹配网络广告，增强了广告效果。本文实现了一个基于语义扩展的网页标签推荐系统，实验证实效果良好。

关键词: 标签提取, 语义扩展, 标签推荐

Abstract:

The mismatch between the web advertisement and the current page leads to worse advertisement effect. In the paper,we use the Bayesian model extension based on site and the semantic extension based on Wikipedia to accurately extract web tag information.We use more accurate tag to match the network advertisement,enhancing the advertisement effect.This paper designs a web tag recommendation system base on semantic extension.The experiments confirm that the effect is good.

Key words: tag extraction;semantic extension;tag recommendation

钱程,阳小兰. 基于语义扩展的网页标签推荐系统[J]. J4, 2012, 34(10): 145-149.

QIAN Cheng,YANG Xiaolan. Web Tag Recommendation System Based on Semantic Extension[J]. J4, 2012, 34(10): 145-149.