Incremental Refinement of Page Ranking of Web Pages

Introduction

Increasing popularity of internet has rendered World Wide Web (WWW), a rich collection of hypertext documents belonging to different domains. Web based information retrieval system, called search engine, though has made things easy for information seeker but still it does not provide guarantee about the relevance/correctness of the information provided to the users. Many times, the information is not precise. Information retrieval system provides the information to the user based on certain retrieval criterion. For instance, it may search the Web for identifying documents which contain information on a given subject. Due to the large size of the WWW, it is very common that a large number of documents get identified related to a particular domain. Therefore, to help users towards finding the best matching documents, a ranking mechanism is employed by the search engine. Common methods for ranking are either based on relevancy where the documents are ordered from most relevant to least relevant or on the basis of popularity where documents are ordered from being most popular to least popular. In this paper, an improved architecture of the information retrieval system is proposed. The proposed ranking system is an optimization of the previous search engine which work better for the repeated queries. The proposed system makes a query log for each user query and store the results retrieved to the user for that query. For repeated queries, the proposed system provides information in less time. The system also provides relevant results by analyzing the content of the pages, retrieved for the user query.