An Intelligent Approach to Mining the Desired and Related Websites

Abstract

In the paper, we propose an intelligent meta-search engine that bases on user’s query keyword(s) to find the extended keywords and more related websites. Instead of listing a lot of candidate websites waiting for users to search, the extended related keywords and more related documents appeared in the explorer window are derived from the proposed method. In case a user is not satisfied with the search results, he/she has the options of picking the advised related keywords generated by our system without knowing any background knowledge of the submitted query. User’s interaction of the search results gives a positive feedback to our system for further improvement of the designed model. Most of current search portals do not analyze the relationship between the retrieved websites, but our system can create the websites’ groups easily. We will present the designed model and illustrate how the proposed MetaSearcher system works in finding the desired websites.