The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Mar. 28, 2023

Filed:

Jun. 15, 2020
Applicant:

Taiwan Semiconductor Manufacturing Co., Ltd., Hsinchu, TW;

Inventors:

Ker-Min Chen, Hsinchu, TW;

Hsiao-Han Hu, Hsinchu, TW;

Tai-Chuan Chen, Hsinchu, TW;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 50/18 (2012.01); G06N 5/04 (2023.01); G06F 16/9038 (2019.01); G06Q 30/0204 (2023.01); G06Q 20/12 (2012.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
G06Q 50/184 (2013.01); G06F 16/9038 (2019.01); G06N 5/04 (2013.01); G06N 20/00 (2019.01); G06Q 20/1235 (2013.01); G06Q 30/0204 (2013.01);
Abstract

An intellectual property (IP) recommending method and an IP recommending system are provided. In the method, a plurality of IP portfolios respectively designated for a plurality of product designs are retrieved and usage data of a plurality of IPs included in each of the plurality of IP portfolios are extracted. A machine learning (ML) model is trained by using a portion of the retrieved IP portfolios and the extracted usage data. In response to receiving at least one criterion for a desired product design from a user, a plurality of IPs adapted for the desired product design are predicted based on the ML model and recommended for the user.


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