Improve the Response Time with Content Mining based Web Page Ranking

The existing information retrieval systems use page ranking algorithms that rely solely on analysis of linked information and examination of text content of the linked sites resulting in retrieval of a huge collection of web pages by the user for a given query. Whereas it is required that the information retrieval system shall re-rank search results according to their relevancy with respect to the user query. In this paper we propose a mechanism to improve the response time using a novel content based web page ranking mechanism deployed at a proxy server that not only measures the quality of the webpages as per the relevance of the user query but also attempts to reduce the delay in response (perceived latency).