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. 07, 2023

Filed:

Jul. 22, 2020
Applicant:

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

Inventors:

Jennifer M. Hatfield, San Francisco, CA (US);

Michael Bender, Rye Brook, NY (US);

Randall Avery Craig, Raleigh, NC (US);

Tom Brugler, Fuquay Varina, NC (US);

Corey Sonier, Baton Rouge, LA (US);

Chris Degnen, Pleasantville, NY (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 5/04 (2006.01); G06Q 50/00 (2012.01); G06N 20/00 (2019.01); G06Q 10/1093 (2023.01); H04W 4/02 (2018.01); H04L 67/12 (2022.01); G16Y 20/40 (2020.01); G06Q 30/0201 (2023.01); G16Y 10/65 (2020.01);
U.S. Cl.
CPC ...
G06N 5/04 (2013.01); G06N 20/00 (2019.01); G06Q 10/1093 (2013.01); G06Q 50/01 (2013.01); H04L 67/12 (2013.01); H04W 4/02 (2013.01); G06Q 30/0201 (2013.01); G16Y 10/65 (2020.01); G16Y 20/40 (2020.01);
Abstract

Aspects of the present invention disclose a method for recommending an activity based on a social media profile, IoT devices, and historical engagements of the user. The method includes one or more processors determining a past activity of a user based at least in part on social media posts and internet of things (IoT) enabled devices of the user. The method further includes determining a set of historical conditions corresponding to the past activity, wherein the set of conditions correspond to a positive sentiment of the user. The method further includes identifying a location of the user. The method further includes generating an activity recommendation based on the location of the user and the set of historical conditions corresponding to the past activity, wherein the activity recommendation includes a set of future conditions of a future activity, wherein the set of future conditions correlate with the set of historical conditions.


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