Development of Searchbadger, A Framework for Evaluation of Search Results

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Merli, Sebastian and Shi, Hao (2012) Development of Searchbadger, A Framework for Evaluation of Search Results. International Journal of computer networks and communications, 4 (6). pp. 91-98. ISSN 0975-2293 (print) 0974-9322 (online)

Abstract

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.

Item type Article
URI https://vuir.vu.edu.au/id/eprint/23573
Official URL http://airccse.org/journal/cnc/1112cnc07.pdf
Subjects Current > FOR Classification > 0801 Artificial Intelligence and Image Processing
Historical > SEO Classification > 8902 Computer Software and Services
Current > Division/Research > College of Science and Engineering
Keywords ResPubID26335, SearchBadger, BadgerWorkspace, framework, web search, search engine, Google, db4o (database for objects), WPF (Windows Presentation Foundation), Search Optimisation.
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