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Personalization Techniques for Web Search Results Categorization
Hong Kong, China March 29-April 01
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/EEE.2005.1012005 IEEE International Conference on ...
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John Garofalakis, University of Patras, Greece; Hellenic Open University, Greece
Theofanis Matsoukas, University of Patras, Greece
Yannis Panagis, RA Computer Technology Institute, Greece; University of Patras, Greece
Evangelos Sakkopoulos, RA Computer Technology Institute, Greece; University of Patras, Greece
Athanasios Tsakalidis, RA Computer Technology Institute, Greece; University of Patras, Greece
Generic web search is designed to serve all users, independent of the individual needs and without any adaptation to personal requirements. We propose a novel technique that performs post-categorization to the results of popular search engines at the client's side. A user profile is built based on user's choices from a category hierarchy (explicitly given requirements) and user's search history (implicitly logged choices). Caching is utilized in order to provide improved responses. An experimental prototype has been implemented based on results coming from a popular search engine. The experimental results indicate strongly that the proposed mechanism is both effective and efficient.
Citation:
John Garofalakis, Theofanis Matsoukas, Yannis Panagis, Evangelos Sakkopoulos, Athanasios Tsakalidis, "Personalization Techniques for Web Search Results Categorization," eee, pp.148-151, 2005 IEEE International Conference on e-Technology, e-Commerce and e-Service (EEE'05), 2005
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