Content and Usage Based Ranking for Enhancing Search Result Delivery

In today's e-world search engines play a vital role in retrieving and organizing relevant data for various purposes. However, in the real ground relevance of results produced by search engines are still debatable because it returns enormous amount of irrelevant and redundant results. Providing relevant information to user is the primary goal of the website owner. Web mining is ample and powerful research area in which retrieval of relevant information from the web resources in a faster and better manner. Web Mining consists of three different categories, namely Web Content Mining, Web Structure Mining and Web Usage Mining. Web content mining improves the searching process and provides relevant information by eliminating the redundant and irrelevant contents. However for a broad-topic and ambiguous query, different users may have different search goals when they submit it to a search engine. Web usage mining plays an important role in inferring user search goals as they can be very useful in improving search engine relevance and user experience. Thus the project focuses on combine approach of web usage mining and web content mining to improve the search engine results by inferring user search goals. In the proposed work a new approach is introduced to re-order the search results based on the contents and user interest rather than keyword and page ranking provided by search engines. Based on the user query, search engine results are retrieved. Every result is individually analyzed based on the user query and page contents and particular score is awarded to each result. Finally, the relevancy of the particular link against user request is computed by summarizing all the scores and the reordered list is displayed to the user. When the user visits the web page out of this reordered list, the query, url and the contents extracted from the web page are stored in the server log. When next time user enters a query the scores are awarded to each result link based on the data in the server log which indirectly incurs the user interest.