Personalization Techniques for Web Search Results Categorization (2005) [1 citations — 1 self]
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by John Garofalakis, Theofanis Matsoukas, Yannis Panagis, Evangelos Sakkopoulos, Athanasios Tsakalidis
11 th Panhellenic Conference in Informatics
http://mmlab.ceid.upatras.gr/people/sakkopoulos/conf/eee.pdf
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Abstract:
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 1 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. 1.
Citations
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| 319 | Inductive Learning Algorithms and Representations for Text Categorization – Dumais, Platt, et al. - 1998 |
| 60 | From adaptive hypermedia to the adaptive web – Brusilovsky, Maybury - 2002 |
| 8 | Learning to Create Customized Authority Lists – Chang, Cohn, et al. - 2000 |
| 7 | Integrating adaptive techniques into virtual university learning environment – Garofalakis, Sakkopoulos, et al. - 2002 |
