Presentation | 2000/9/18 Development of Patent Delivery System Using Document Filtering Techniques Naomi INOUE, Kazunori MATSUMOTO, Keiichiro HOASHI, Kazuo HASHIMOTO, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Existing patent retrieval systems are difficult to use by amateur users because of several drawbacks. We have developed a novel type of patent retrieval system which anybody can make use of easily, and have been using it in our laboratories since the beginning of this year. Our system uses document filtering techniques. These filtering techniques are based on a probabilistic model which searches documents relevant to the user's interest. This paper describes our patent retrieval system, called patent delivery system, filtering method and experimental results. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Information Filtering / Probabilistic Model / Bayesian Clustering |
Paper # | AI2000-39 |
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Conference Information | |
Committee | AI |
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Conference Date | 2000/9/18(1days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | |
Topics (in Japanese) | (See Japanese page) |
Topics (in English) | |
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Paper Information | |
Registration To | Artificial Intelligence and Knowledge-Based Processing (AI) |
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Language | ENG |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Development of Patent Delivery System Using Document Filtering Techniques |
Sub Title (in English) | |
Keyword(1) | Information Filtering |
Keyword(2) | Probabilistic Model |
Keyword(3) | Bayesian Clustering |
1st Author's Name | Naomi INOUE |
1st Author's Affiliation | KDD R&D Laboratories() |
2nd Author's Name | Kazunori MATSUMOTO |
2nd Author's Affiliation | KDD R&D Laboratories |
3rd Author's Name | Keiichiro HOASHI |
3rd Author's Affiliation | KDD R&D Laboratories |
4th Author's Name | Kazuo HASHIMOTO |
4th Author's Affiliation | KDD R&D Laboratories |
Date | 2000/9/18 |
Paper # | AI2000-39 |
Volume (vol) | vol.100 |
Number (no) | 321 |
Page | pp.pp.- |
#Pages | 7 |
Date of Issue |