公开(公告)号：US20240403366A1

公开(公告)日：2024-12-05

申请号：US18344041

申请日：2023-06-29

Applicant: Dropbox, Inc.

Inventor： Devin Mancuso ,  Jason Stakelon ,  Richard Chan ,  Fiona Rolander ,  Walter Somerville

IPC: G06F16/901 ,  G06F16/28 ,  G06F16/9535

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for generating a content stack utilizing one or more machine-learning models. In some implementations, the disclosed systems generate and provide, to a user account, a content stack that includes content items corresponding to a topic prompt for the user account. For instance, in some implementations, the disclosed systems utilize content-based signals and account-based signals to generate an account-specific stack formulation graph that represents a plurality of content items and relationships of the content items with each other and with the user account. Additionally, in some implementations, the disclosed systems analyze the account-specific stack formulation graph to generate a content stack from the plurality of content items, the content stack comprising a set of content items corresponding to the topic prompt.