Incorporating users location into snippet based Query recommendation system

Abstract

As the access of web has been increased greatly for information retrieval and it is difficult to extract the relevant information in less time. Sometime Search engine does not able to understand user search intend behind query. Thus Query recommendation can be used to help user to state exactly their information need. Search engine can return appropriate result to meet users' information needs. There are various methods based on history of users and snippets to retrieve the information. But these methods fail to satisfy users need. Therefore in addition of history and snippets with users location information will produce better results. Snippet based method with incorporating users preferences and location results the URLs for given query, also it ranks the clicked URLs at the top of the result based on user profile. The performance of the system shows that the snippet based with incorporating users location give better and effective recommendation for all types queries as compared to previous methods including low frequency queries.