Title:
PATENT VALUATION USING ARTIFICIAL INTELLIGENCE
Document Type and Number:
WIPO Patent Application WO/2022/211099
Kind Code:
A1
Abstract:
A system and method are provided for using artificial intelligence for patent valuation. The method includes obtaining a master list of patent classification codes used by a patent office. The method also includes, for each patent issued by the patent office: obtaining a respective set of patent classification codes assigned to the respective patent and forming a respective training vector. Each element in the respective training vector is a categorical variable that specifies whether a patent classification code is included in the respective set of classification codes. The system receives a respective user-specified value metric for each patent. The method also includes training a machine learning model according to a training data table that includes the training vectors. The machine learning model is configured to predict value metrics for patents according to their corresponding patent classification codes.
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Inventors:
AKAMINE YOSHIKAZU (JP)
KARASAWA RYO (JP)
OKAWA ATSUSHI (JP)
KARASAWA RYO (JP)
OKAWA ATSUSHI (JP)
Application Number:
PCT/JP2022/016882
Publication Date:
October 06, 2022
Filing Date:
March 31, 2022
Export Citation:
Assignee:
OLYMPUS CORP (JP)
International Classes:
G06N3/08; G06F40/30; G06N5/00; G06N20/10; G06N20/20; G06Q50/18; G06N3/04
Foreign References:
| CN112561313A | 2021-03-26 | |||
| US20200279189A1 | 2020-09-03 | |||
| US203762631691P |
Other References:
CHOI JAEWOONG ET AL: "A novel approach to evaluating the business potential of intellectual properties: A machine learning-based predictive analysis of patent lifetime", COMPUTERS & INDUSTRIAL ENGINEERING, PERGAMON, AMSTERDAM, NL, vol. 145, 12 May 2020 (2020-05-12), XP086185487, ISSN: 0360-8352, [retrieved on 20200512], DOI: 10.1016/J.CIE.2020.106544
Attorney, Agent or Firm:
MATSUNUMA Yasushi et al. (JP)
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