Abstract
In this paper a novel approach is proposed for generating the optimal ranked clicked URLs using genetic algorithm (GA) based on clustered web query sessions for effective personalized web search. Experimental study was conducted on the data set of web query sessions captured in the domains academics, entertainment and sports to test the effectiveness of clusterwise optimal ranked clicked URLs for personalized web search (PWS). The results, which are verified statistically shows an improvement in the average precision of the personalized web search based on optimal ranked clicked URLs over both Classic IR and personalized web search without optimal ranked clicked URLs. Thus the effectiveness of personalized web search using optimal ranked clicked URLs is confirmed for better customizing the web search according to the information need of the user.
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.
