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Category Based Customization Approach for Information Retrieval

Kenro AiharaContact Information and Atsuhiro TakasuContact Information

(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


Contact Information Kenro Aihara
Email: kenro.aihara@nii.ac.jp

Contact Information Atsuhiro Takasu
Email: takasu@nii.ac.jp
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