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个人信息Personal Information
教授
博士生导师
硕士生导师
主要任职：Director of Academic Committee at Kaifa District
其他任职：开发区校区学术分委员会主任（Director of Academic Committee at Kaifa Campus）
性别：男
毕业院校：多伦多大学
学位：博士
所在单位：软件学院、国际信息与软件学院
学科：软件工程. 运筹学与控制论
办公地点：开发区（Kaifa District Campus）
联系方式：mingchul@dlut.edu.cn
电子邮箱：mingchul@dlut.edu.cn
FoSSicker: A personalized search engine by location-awareness
点击次数：
论文类型：会议论文
发表时间：2012-01-30
收录刊物：EI、Scopus
页面范围：456-460
摘要：With the rapid growth of Web documents collection, achieving high precision at the top retrieved documents has become a major issue for the search engine users, especially for the different needs of users for the same query. The typical search engines retrieve the same search results to users that cannot satisfy users any more. In this paper, we introduce a location-aware search engine based on machine learning (FoSSicker) to enhance the precision of web search which takes information parsed from IP address as context to personalize the search results. Moreover, we use history (users' clickthrough data) to intelligentize the search engine to top the Web document which is mostly wanted. By experiments, this intelligent search engine is proved to be a faster reactor compared with the existing personalized search engines. ? 2012 IEEE.