A Learning Based Search Engine Selection Technique

A good search engine selection algorithm should identify potentially useful databases accurately. Many approaches have been proposed to tackle the database selection problem. Such as Rough approach, static approach and learning approach. To fulfill the demand of users and help them to be more effective on selecting relevant and useful search engines, this paper presents a search engine selection algorithm that is based on training query and demands of user query.