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:
Jul. 23, 2024

Filed:

Feb. 27, 2020
Applicant:

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

Inventors:

Firas Kazem, Kanata, CA;

Anthony Nicola Tasca, Ottawa, CA;

Laura Marie Alkhoury, Ottawa, CA;

Ahmed Hussein Mohamed Kamel El-Khouly, Kanata, CA;

Mohammed Mostafa, Kanata, CA;

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/904 (2019.01); G06F 40/186 (2020.01); G06Q 10/063 (2023.01);
U.S. Cl.
CPC ...
G06F 16/904 (2019.01); G06F 40/186 (2020.01); G06Q 10/063 (2013.01);
Abstract

A computer-implemented method, system and computer program product for recommending a template or a dataset. A descriptor (input descriptor) of the input, corresponding to a dataset or a dashboard template, is extracted or fetched. The input descriptor may be the descriptor of the dataset which includes topics and concept combinations. Alternatively, the input descriptor may be the descriptor of the dashboard template which includes topics, concept combinations and column-to-visualization mappings. Scores are then generated for the candidate targets, corresponding to dashboard templates or datasets, based on one or more of the following: matching topics in the input descriptor with topics in the candidate target descriptors, matching concept combinations in the input descriptor with concept combinations in the candidate target descriptors, and determining compatibility of the datasets with the dashboard templates. Dashboard template(s) or dataset(s) are then recommended based on the generated scores for the candidate targets.


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