Development of SearchBadger, A Framework for Evaluation of Search Results
Sebastian Merli · International journal of Computer Networks & Communications · 2012
Google represents a significant share in the search market and dominates the world of search engines.Although Google has constantly made effort to improve its search results by adding a result page preview and offering a block URL option, individual user feedback to the real time search operation is still very limited.In this paper, a new framework called SearchBadger is proposed to optimise search results in real time by interacting with user and taking into account immediate user feedback.The proposed framework SearchBadger is developed using C#, db4o and Visual Studio.SearchBadger architecture contains the major component BadgerWorkspace and is followed by graphical user interface and search behaviour.Keyterm significance and stemming are discussed and then page re-ranking is achieved by instant user feedback.The framework can be integrated to the existing search engines or served as a test bed for future development of semantic web.