A novel user preference and feedback based Page Ranking technique
Ashlesha Gupta, Ashutosh Dixit, P. K. Mehalaa Devi · International Conference on Computing for Sustainable Global Development · 2015
Page Ranking techniques are employed by search engines to rank the web pages in order of their importance and relevance to user query. Many current approaches to page ranking either focus on link-structure of the Web or similarity of a page with the query to calculate Page Rank values of the pages., These traditional approaches however do not at all consider user preference, feedback and user interest while page ranking. In a typical scenario where users generally do not look at pages which come after first result-page using these factors (user preference, user feedback) along with traditional page ranking factors can significantly improve ordering of results. In this a paper a new page ranking algorithm is being proposed that combines page similarity, link-structure information with user preference based on Internet domains and implicit user feedback (based on number of clicks and time spent on web page) for page ranking. Preliminary small user study results conforms improved quality of the proposed mechanism wherein user gets desired information without going deeper into the search results.