摘要
随着网络技术飞速发展,对搜索引擎的要求也越来越高,然而对人机交互的的支持却没有充分体现出来。本文通过分析Web用户的不同检索需求,提出了以用户为中心的用户事务聚类方法,在聚类的相似性度量上,不仅考虑了用户在Web事务中对某页面的访问次数,还考虑了在该页面上的浏览时间。对用户查询请求不断进行修正后反复进行检索,从而有效提高了信息检索系统的精度和信息检索的协同工作能力,使得人机交互更加高效。
With the rapid development of interact technology, the requirement of search engine gets much more higher. According to the problem of higher complexity in the clustering algorithm of user accessing schedule, the paper puts forward a new clustering algorithm which based on the analysis of the Web users＇ request. It synthesizes the statistic of the times and time of users＇ visiting page which mapped to visiting time value. By means of repeated searching to users＇ amended request, the accuracy and proceeding ability of information searching system are enhanced strongly. This algorithm is proved to make a great drop in feature dimension and an increase in speed and accuracy. It leads a high level efficiency to An Application on Human - Computer interaction. The algorithm makes a great drop in feature dimension and an increase in speed and accuracy.
出处
《信息技术与信息化》
2008年第4期28-29,共2页
Information Technology and Informatization
关键词
人机交互
用户特征
聚类
Human- computer interaction
Users＇ character
Clustering algorithm
