XML Document Personalization based on User's Preference and Document's Freshness.
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Accession number;02A0233737
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| Title;XML Document Personalization based on User's Preference and Document's Freshness. |
| Author;
TAKANO MASAKI
(Advanced Inst. Sci. and Technol., Nara)
SUZUKI YU
(Advanced Inst. Sci. and Technol., Nara)
HATANO KENJI
(Advanced Inst. Sci. and Technol., Nara)
YOSHIKAWA MASATOSHI
(Advanced Inst. Sci. and Technol., Nara)
UEMURA SHUNSUKE
(Advanced Inst. Sci. and Technol., Nara)
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Journal Title;Joho Shori Gakkai Kenkyu Hokoku
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Journal Code:Z0031B
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ISSN:0919-6072
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VOL.2002;NO.3(DBS-126);PAGE.161-168(2002)
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| Figure&Table&Reference;FIG.3, TBL.5, REF.8 |
| Pub. Country;Japan |
| Language;Japanese |
| Abstract;High-speed network and high-performance computer enables us to deal with many eletronic documents such as XML documents are used widely. On E-commerce, a lot of information about merchandise are broadcased over the networks, and stored into users' storages. However, users' cannot view that huge data, we need an algorithm to retrieve data which users need. In this paper, we propose a method to retrieve data which a user want automatically. In our method, we extract two features: users' preference and documents' freshness by integrating two features, respectively. We have performed experiments to find an appropriate mathematical function used in integrating score values of multipule features into single scores. As a result, we found that "the p-norm" exhibits the best result in our experiments. (author abst.) |
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