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:
Aug. 31, 2021

Filed:

Nov. 09, 2017
Applicant:

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

Inventors:

Florian Pinel, New York, NY (US);

Nan Shao, Ridgefield, CT (US);

Kush R. Varshney, Ossining, NY (US);

Lav R. Varshney, Champaign, IL (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 99/00 (2019.01); G06K 9/00 (2006.01); G06Q 10/06 (2012.01);
U.S. Cl.
CPC ...
G06N 99/00 (2013.01); G06K 9/00496 (2013.01); G06Q 10/067 (2013.01);
Abstract

Software that uses personalized information pertaining to a user to determine how familiar (or 'novel' or 'surprising') a new artifact will be to the user, by performing the following steps: (i) receiving a first dataset pertaining to a first user; (ii) building, utilizing the first dataset, an ontology of artifacts known to the first user, where the ontology includes a domain of food and a plurality of artifacts that include food recipes, and where the artifacts have corresponding characteristics that include food ingredients; (iii) calculating a prior probability distribution for each artifact of the ontology using a probabilistic familiarity algorithm; and (iv) calculating a probabilistic familiarity value for the first artifact with respect to the first user by adding the first artifact to the set of artifacts and calculating the first artifact's prior probability distribution using the probabilistic familiarity algorithm.


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