USER SEARCH GOAL INFERENCE AND FEEDBACK SESSION USING FAST GENERALIZED – FUZZY C MEANS ALGORITHM

R.Priyanka, N. Rajkumar

Abstract: There is a high stress on search engines due to the overload of information content in the internet. Search query submitted by the user to the search engine represents the user requirements. Sometimes, particular desire of the user cannot be fulfilled by the user search query. Also, long listed search result may not be always significant to the user requirements and irrelevant documents are returned by many of the existing search engines which follow the mechanism of keyword matching. Indeed, both the users and search engine developers need to reduce the information content in the internet. In this paper, we aim to infer the user search goal by considering the clicked URLs and reorganize the web search result. We use FG-FCM based clustering for grouping the semantically similar search results which further enhances the reorganized search result

Keywords: Ambiguous Query, Broad-topic Query, Feedback session, Semantics.

DOI: https://doi.org/10.15623/ijret.2014.0319095