Search Engine Selection Approach in Metasearch Using Past Queries

A meta-search engine is a search engine that utilizes multiple search engines, when a meta search engine receives a query from a user, it invokes the underlying search engines to retrieve useful information for the user. Most of the data on the web is in the form of text or image. A good database selection algorithm should identify potentially useful databases accurately. Many approaches have been proposed to tackle the database selection problem. These approaches differ on the database representatives they use to indicate the contents of each database, the measures they use to indicate the usefulness of each database with respect to a given query, and the techniques they employ to estimate the usefulness. In this paper, we study to design an algorithm and compare with the existing algorithm to select the most appropriate search engine with respect to the user query.