Text based Semantic information predictions using user behavior

摘要

For Searching and managing online growth of information is becoming a difficult task. The major challenge is to improve users search experience. The current technique that is involved in Content description and query processing in Information Retrieval (IR) are based on keywords. I am therefore trying to improve the quality of search results. In this paper I am trying to optimize the search engines results. Mostly used search engines are Google, Yahoo and Bing. Thus the query q is provided as an input to search engine followed by retrieving relevant ddocuments/ links to user. Depending upon the user behavior the documents are retrieved to user. For this we will firstly create a login section where user will provide interests, hobbies and designation in it, to make searching more useful.