期刊名称：International Journal of Engineering and Computer Science
印刷版ISSN：2319-7242
出版年度：2014
卷号：3
期号：12
页码：9576-9580
出版社：IJECS
摘要：Now a days, Internet has become essential for banking, education, business and many more applications. Users searchinformation on the web using search engines by clicking on hyperlinks or via keyword queries. So to develop user search intentapplication is challenging, satisfying increased expectations and diverse needs of user. In this paper, we will survey the varioustechniques used for query suggestion, personalization and FAQ identification. We will review query suggestion by consideringquery contents, document clicks, query frequency and semantic features. Thus, by automating the optimization process ofsearching on web; we can minimize user efforts; maximize user satisfaction for getting desired search.
关键词：search history; clustering; suggestion and mining
