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:
Jul. 07, 2026

Filed:

Feb. 12, 2025
Applicant:

Fmr Llc, Boston, MA (US);

Inventors:

Devanga Kotha Aswarthanarayana, Bangalore, IN;

Sidhant Pravinkumar Thole, Bangalore, IN;

Manish Gupta, Bangalore, IN;

Sunil Sharma, Mathura, IN;

Sachin Umrao, Bangalore, IN;

Bibhash Chakrabarty, Bangalore, IN;

Assignee:

FMR LLC, Boston, MA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/957 (2019.01); G06F 16/9535 (2019.01); G06F 16/9538 (2019.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
G06F 16/9574 (2019.01); G06F 16/9535 (2019.01); G06F 16/9538 (2019.01); G06N 20/00 (2019.01);
Abstract

Systems and methods are described for predicting tasks that users perform on websites. More specifically, a machine learning model is trained using page session data (that includes page flows which are a sequence of pages visited by a user) for each user that is associated with the website. In addition, the machine learning model is fine-tuned using previous page flows associated with the user, user attribute data that is associated with the user, and user tasks, which are tasks that have been previously completed by the user. When a user visits the website, the machine learning model determines a predicted task after the user visits a predetermined number of webpages. A recommended content is generated based on the predicted task and displayed before the user.


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