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:
Jan. 31, 2023

Filed:

Oct. 07, 2020
Applicant:

Dropbox, Inc., San Francisco, CA (US);

Inventors:

Ranjitha Gurunath Kulkarni, Sunnyvale, CA (US);

Xingyu Xiang, San Francisco, CA (US);

Jongmin Baek, Foster City, CA (US);

Ermo Wei, San Bruno, CA (US);

Assignee:

Dropbox, Inc., San Francisco, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 9/54 (2006.01); G06F 40/284 (2020.01); G06N 3/08 (2006.01); G06N 5/02 (2006.01);
U.S. Cl.
CPC ...
G06F 9/542 (2013.01); G06F 40/284 (2020.01); G06N 3/08 (2013.01); G06N 5/02 (2013.01);
Abstract

The present disclosure relates to systems, methods, and non-transitory computer-readable media that can leverage a natural language model to determine a most probable candidate sequence of tokens and thereby generate a predicted user activity. In particular, the disclosed systems can tokenize activity event vectors to generate a series of sequential tokens that correspond to recent user activity of one or more user accounts. In addition, the disclosed systems can, for each candidate (e.g., hypothetical) user activity, augment the series of sequential tokens to include a corresponding token. Based on respective probability scores for each of the augmented series of sequential tokens, the disclosed systems can identify as the predicted user activity, a candidate user activity corresponding to one of the augmented series of sequential tokens associated with a highest probability score. Based on the predicted user activity, the disclosed systems can surface one or more suggestions to a client device.


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