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:
Feb. 06, 2024

Filed:

Jan. 11, 2022
Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventors:

Tymoteusz Gedliczka, Cracow, PL;

Szymon Brandys, Cracow, PL;

Piotr Grzywna, Cracow, PL;

Tomasz Kania, Cracow, PL;

Maciej Madej, Cracow, PL;

Krzysztof Pitula, Cracow, PL;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 16/2457 (2019.01);
U.S. Cl.
CPC ...
G06F 16/24578 (2019.01);
Abstract

A computer-implemented method, a computer program product, and a computer system for measuring relevance of datasets to data science models. One or more servers implement steps: extract keywords in each data science model; determine first relative frequencies of the respective keywords in each data science model, for each source group in the data science models; extract keywords in each dataset; determine second relative frequencies of the respective keywords in each dataset, for each source group in the datasets; determine weights of the keywords; calculate first aggregated relevant scores of the respective keywords in each data science model, based on the first relative frequencies and the weights; calculate second aggregated relevant scores of the respective keywords in each dataset, based on the second relative frequencies and the weights. One or more servers calculate similarity between vectors of the first and second aggregated relevant scores, based on a similarity measure between vectors.


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