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:
Jun. 16, 2026

Filed:

Feb. 25, 2022
Applicant:

Adobe Inc., San Jose, CA (US);

Inventors:

Gaurav Sinha, Bangalore, IN;

Vibhor Porwal, Auraiya, IN;

Isha Chaudhary, New Delhi, IN;

Simarpreet Singh Saluja, Mohali, IN;

Rashul Chutani, Faridabad, IN;

Shaurya Goel, Hisar, IN;

Assignee:

ADOBE INC., San Jose, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 20/10 (2019.01); G06F 18/213 (2023.01); G06F 18/214 (2023.01); G06Q 30/0242 (2023.01);
U.S. Cl.
CPC ...
G06N 20/10 (2019.01); G06F 18/213 (2023.01); G06F 18/214 (2023.01); G06Q 30/0246 (2013.01);
Abstract

An analytics system jointly predicts values for multiple unobserved individual-level features using aggregate data for those features. Given a dataset, a transformation is applied to individual-level information for the dataset to generate transformed data in a higher dimensional space. Bag-wise mean embeddings are generated using the transformed data. The bag-wise mean embeddings and aggregate data for unobserved individual-level features for the dataset are used to train a model to jointly predict values for the unobserved individual-features for data instances. In particular, a given data instance can be transformed to a representation in a higher dimensional space. Given this representation, the trained model predicts values for the unobserved individual-level features for the data instance, and the data instance can be augmented with the predicted values.


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