摘要
为了向用户提供个性化的web信息检索服务,该文对已有的个性化服务模型加以改进,介绍了一种基于用户个性化词典的搜索引擎查询扩展模型。该模型采用用户个性化词典替换传统的全局词典,并利用查询扩展策略实现个性化服务。用户个性化词典能够优化用户兴趣建模过程,使用户兴趣模型更加准确,从而优化最终生成的扩展词。借助扩展词,用户可以在搜索引擎上更方便地检索到更符合自己兴趣的网页。实验表明该模型能够通过搜索引擎,向用户提供有效可行的个性化服务。
For the sake of personalizing the service of web information retrieval,a query expansion model based on user personal ization dictionary for search engine is proposed in this paper,by improving the current personalization service model.This model use the user personlization dictionary instead of traditional global dictionary,and the query expansion strategy to accomplish the personalization service.The user personalization dictionary could optimize the procedure of user interests modeling,and help the user interests model more accurate,by which expansion words generated could be optimized as a result.With the help of expan sion words,it is more convenient for user to retrieve the web pages more which tally with user＇s interests on the search engine.At last,the experiments show that the model proposed in this paper could provide the feasible and effective personalization ser vice to user.
作者
李力沛
罗颖
LI Li-pei,LUO Ying（1.Yangtze Normal University,Chongqing 408100,China;2.CISDI,Chongqing 404100,China）
出处
《电脑知识与技术》
2012年第10期6764-6770,共7页
Computer Knowledge and Technology
基金
重庆市教委科技基金项目（KJ091306）
关键词
用户个性化词典
二级向量
查询扩展
个性化服务
搜索引擎
user personalization dictionary
double vector
query expansion
personalization service
search engine
