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:
Dec. 07, 2021

Filed:

Jan. 27, 2016
Applicant:

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

Inventors:

Yi-Min Chee, Yorktown Heights, NY (US);

Ashish Jagmohan, Irvington, NY (US);

Pamela N. Luna, Houston, TX (US);

Krishna C. Ratakonda, Yorktown Heights, NY (US);

Richard B. Segal, Chappaqua, NY (US);

Piyawadee Sukaviriya, White Plains, NY (US);

Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 7/00 (2006.01); G06N 3/02 (2006.01); G06N 5/02 (2006.01);
U.S. Cl.
CPC ...
G06N 7/005 (2013.01); G06N 3/02 (2013.01); G06N 5/02 (2013.01);
Abstract

According to embodiments, methods, systems, and computer program products are provided for receiving one or more input compositions comprising one or more materials, assigning a material vector to each material, learning, for each of the input compositions, a composition vector based on the material vectors of the materials that form each composition, assigning predicted rating values having a confidence level to each of the composition vectors, selecting a composition to be rated based on the confidence levels, presenting the selected composition to be rated to a user, receiving a user rating for the composition to be rated; adjusting the predicted rating values and confidence levels of the composition vectors that have not been rated by the user, and generating a predictive model to predict a user's ratings for compositions when confidence levels of each composition vector is above a predetermined threshold value.


Find Patent Forward Citations

Loading…