首页 | 本学科首页   官方微博 | 高级检索  
     

一种基于聚类和用户行为分析的搜索引擎结果优化方法
引用本文:江婕,李建民,曾勍炜,林振荣. 一种基于聚类和用户行为分析的搜索引擎结果优化方法[J]. 计算机与现代化, 2008, 0(10): 91-94
作者姓名:江婕  李建民  曾勍炜  林振荣
作者单位:南昌大学计算机系,江西,南昌,330031
摘    要:在研究传统搜索引擎的基础上,提出了一种改进的元搜索引擎模型及一种基于聚类和用户行为分析的查询结果优化方法,最后通过对比优化前后用户的满意度验证了该方法的可行性。

关 键 词:搜索引擎  聚类  用户行为分析  查询结果  优化

An Optimizing Search Results Method Based on Clustering and User Behavior Analysis
JIANG Jie,LI Jian-min,ZENG Qing-wei,LIN Zhen-rong. An Optimizing Search Results Method Based on Clustering and User Behavior Analysis[J]. Computer and Modernization, 2008, 0(10): 91-94
Authors:JIANG Jie  LI Jian-min  ZENG Qing-wei  LIN Zhen-rong
Affiliation:( Department of Computer, Nanchang University, Nanchang 330031, China)
Abstract:According to the study of traditional search engine,this paper proposes an improved meta-search engine model and an optimization method to search results based on clustering and user behavior analysis.Finally,its feasibility can be proved by contrasting the degree of satisfaction of the original users with that of the users after optimizing search results.
Keywords:search engine  clustering  user behavior analysis  search results  optimization
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号