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.
Patent No.:
Date of Patent:
Jan. 13, 2026
Filed:
Jul. 09, 2024
Adobe Inc., San Jose, CA (US);
Iftikhar Ahamath Burhanuddin, Bangalore, IN;
Xiang Chen, San Jose, CA (US);
William Brandon George, Pleasant Grove, UT (US);
Wei Zhang, Great Falls, VA (US);
Uttaran Bhattacharya, College Park, MD (US);
Tong Yu, Fremont, CA (US);
Sungchul Kim, San Jose, CA (US);
Said Kobeissi, Lovettsville, VA (US);
Ryan A. Rossi, San Jose, CA (US);
Ritwik Sinha, Cupertino, CA (US);
Razvan-Alexandru Balan, Bucharest, RO;
Prithvi Bhutani, Lynnwood, WA (US);
Michael Edwin Rimer, Lindon, UT (US);
MD Mehrab Tanjim, Santa Clara, CA (US);
Jordan Henson Walker, Lehi, UT (US);
Jiabin Geng, Lehi, UT (US);
Harshita Chopra, New Delhi, IN;
Guillaume L. Escarguel, San Diego, CA (US);
Brandon Galen Mooso, Jordan, UT (US);
Atanu R. Sinha, Bangalore, IN;
Andrei Zugravu, Bucharest, RO;
Abhisek Trivedi, South Jordan, UT (US);
Adobe Inc., San Jose, CA (US);
Abstract
Techniques for data question answering with auxiliary recommendations are described to enable efficient querying of data sets for answers to data questions based on a natural language input. In an example, a processing device is operable to receive a natural language input including a query, determine an additional query based on a context of the query, and query a machine-learning model using the query and the additional query. The processing device is further operable to receive, from the machine-learning model, a result including a quantitative answer to the query, an additional answer based on the additional query, and an explanation by the machine-learning model of how the machine-learning model generated the quantitative answer or the additional answer in response to the querying. The processing device is operable to present the result for display in a user interface.