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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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
Conference Date 2000/9/18(1days)
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Registration To Artificial Intelligence and Knowledge-Based Processing (AI)
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