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移动环境下搜索引擎的个性化方法
引用本文:刘妮娜,卜佳俊,蔡柯柯.移动环境下搜索引擎的个性化方法[J].江南大学学报(自然科学版),2006,5(1):54-57.
作者姓名:刘妮娜  卜佳俊  蔡柯柯
作者单位:浙江大学,计算机科学与技术学院,浙江,杭州,310027
摘    要:针对手机等移动设备具有小屏幕、操作不方便和具有惟一标识的特点,提出了适用于移动环境下搜索引擎的个性化搜索的新方法.首先用户的查询历史可以通过惟一的手机号自动记录下来;其次利用用户的查询历史,建立用户描述文件以及基于关键词空间的用户兴趣模型;最后根据用户兴趣模型,采用关键词扩充算法优化用户查询.此方法能够较好地实现移动环境下的个性化搜索,提高检索效率.

关 键 词:个性化  搜索引擎  用户模型  关键词扩充
文章编号:1671-7147(2006)01-0054-04
收稿时间:2004-10-21
修稿时间:2004-11-09

Research on Personalization of the Mobile Search Engine
LIU Ni-na,BU Jia-jun,CAI Ke-ke.Research on Personalization of the Mobile Search Engine[J].Journal of Southern Yangtze University:Natural Science Edition,2006,5(1):54-57.
Authors:LIU Ni-na  BU Jia-jun  CAI Ke-ke
Institution:College of Computer Science, Zhejiang University, Hangzhou 310027, China
Abstract:With the rapid development of mobile technique,people can retrieve information on the internet using mobile equipment.However, it is time consuming to browse web to find information using the equipment with small screen.A novel personalization technique applied to mobile search engine is presented in this paper.User's search history can be recorded automatically and identified by the unique mobile phone number.A user profile is learned from the user's search history and a personal model based on vector space is constructed.According to the personal model,a keyword expansion algorithm is presented to refine the query.And personalized search is conducted based on the refined query.
Keywords:personalization  search engine  personal model  keyword expansion  
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