计算机科学 ›› 2012, Vol. 39 ›› Issue (11): 187-190.

• 人工智能 • 上一篇    下一篇

基于互联网用户心理挖掘的网站深翻系统

王征,徐培文   

  1. (西南财经大学信息学院邑金融研究院 成都611130)
  • 出版日期:2018-11-16 发布日期:2018-11-16

Site Deep-digger System Based on Internet Client Psychology Mining

  • Online:2018-11-16 Published:2018-11-16

摘要: 基于人工检索和顶置的网站优化系统工作效率低下,响应速度慢。为消除上述问题,提出并设计了基于互联 网用户心理挖掘的网站深翻系统。该系统通过相关网站及自身的观点挖掘活动,检索近期网络热点,并根据历史信息 对客户需求进行测度和提取;最终将按照客户的观点需求和当前热点,从历史数据库中提取既往信息进行网站优化。 仿真实验表明,该系统能够较好地实现互联网用户心理挖掘及网站的搜索引擎优化,提高网站点击率。

关键词: 网络,用户心理特征,心理挖掘,搜索引擎优化,匹配

Abstract: Site optimization systems based on artificial retrieval and topping work slowly and inefficiently. In order to deal with these problems, a site deep-digger system was proposed with Internet client psychology mining. I}he system u- tilizes Web opinion mining technologies to search Internet hot points. And it can extract and estimate client requests from historic data. According to these rectuests and historic information,it optimizes the site by creating related Webs. Simulation results show that the system can perform better to mine Internet opinions and do SEO (search engine optimi- nation) better than the traditional methods do so.

Key words: Network, Client psychology character, Psychology mining, Search engine optimization, Match

No related articles found!
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!