Category Based Customization Approach for Information Retrieval
Kenro Aihara4
and Atsuhiro Takasu4 
| (4) |
National Institute of Informatics, 2-1-2 Hitotsubashi, Chiyoda-ku, Tokyo 101-8430, Japan |
Abstract
This paper proposes an customization technique to supporting interactive document retrieval in unorganized open information
space like WWW. We assume that taxonomical thought is one of the most important and skilled operations for us when we organize
or store information. The proposed methodology, therefore, handles hierarchical categories of documents. The system can be
customized through users’ modification of categories. The features of the proposed approach are (1) visualization of document
categories for interaction, (2) initialization of categories by hierarchical clustering method, (3) customization of categories
by support vector machine techniques, (4) additional attributes for individual implicit cognitive aspects.
Keywords User Feedback - Customization - Visualization - Text Categorization - Human-Computer Interaction - Support Vector Machine - Information Retrieval
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