Abstract
Search engines have turn out to be the most effective tools for acquiring useful information from the Internet. Different techniques are employed for searching desired documents from the World Wide Web. Most of them are either change the entered query or apply different ranking methods to adapt the searching results for particular person. This paper introduces a system (PSQCR) that produces personalized result at the top of the list with reasonable time limit. For discover the relevant documents with respect to a query, synonymous based query extension is used. Documents are clustered by using k-means clustering method in favor of reducing retrieval time. Maximum matched pattern based ranking method is used to filter out the relevant documents from searching results related to a particular user. User profiles for each user is created by his previous search history. So, this system incorporates the advantages of the four approaches. The Result analysis shows that it thrashes out almost all relevant documents with reasonable time limit and presents it into the uppermost of the list.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
