Personalized search based on groupization
Zhai Dan-run · Journal of Henan Polytechnic University · 2010
search ought to provide its user the most suitable search results.However,the current challenge of personalized search algorithm is that the search engine can not collect users' information as much as possible.The insufficient information for users becomes a problem,so an effective method is used to search the data of other people who have the same search purpose.From mining search log provided by Sogou,all kinds of groups are studied,then a novel personalized search algorithm based on the use of clustering IP address is proposed,which can augment enough information to the end user from other people who share the same query intent.A lot of work has done for improving the users' search experience.Corresponding to the trodational Personalized Search,it also called Groupization Search.By analysing the users' search behaviors and performing experiments,it showed that the method is available and effective for improving the personalized search results.