公开(公告)号：US20230394714A1

公开(公告)日：2023-12-07

申请号：US17938244

申请日：2022-10-05

Applicant: Dropbox, Inc.

Inventor： Vasanth Krishna Namasivayam ,  Christopher T Lesniewski-Laas ,  Morgan Zerby ,  Shubham Goel ,  Sohrab Seyed Fathi ,  Sigalit Sadeh

IPC: G06T11/00 ,  G06F16/16

CPC classification number: G06T11/00 ,  G06F16/164 ,  G06F16/168

Abstract: The present disclosure is directed toward systems, methods, and non-transitory computer readable media for generating and providing synthetic visualizations representative of content collections within a content management system. In some cases, the disclosed systems generate a synthetic visualization based on content features that indicate relevance of content items with respect to a user account to emphasize more relevant content items within the synthetic visualization and/or to represent descriptive content attributes of the content items. For example, the disclosed systems can generate a synthetic phrase that represents a content collection and can further generate a synthetic visualization from the synthetic phrase utilizing a synthetic visualization machine learning model.

公开(公告)号：US20230185768A1

公开(公告)日：2023-06-15

申请号：US17548516

申请日：2021-12-11

Applicant: Dropbox, Inc.

Inventor： Tristan Inghelbrecht ,  Jongmin Baek ,  Ermo Wei ,  Morgan Zerby ,  Win Suen ,  Shubham Goel

IPC: G06N20/00

CPC classification number: G06N20/00

Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media that utilize machine-learning models to classify content items and automatically organize the content items within a file structure according to their content item classifications. For instance, a content item classification system generates one or more content item classification models to determine classifications for content items and/or folders. In some instances, the classification system detects when new content items are added to a smart folder, determines destination folders to which the content items belong based on classifying the content items, and automatically moves the content items accordingly. In various instances, the classification system generates and utilizes a classification model to organize content items into dynamically-generated folders. In example implementations, the classification system generates and utilizes a classification model to automatically organize existing content items into existing folders.

公开(公告)号：US12277622B2

公开(公告)日：2025-04-15

申请号：US17938244

申请日：2022-10-05

Applicant: Dropbox, Inc.

Inventor： Vasanth Krishna Namasivayam ,  Christopher T Lesniewski-Laas ,  Morgan Zerby ,  Shubham Goel ,  Sohrab Seyed Fathi ,  Sigalit Sadeh

IPC: G06T11/00 ,  G06F16/16

Abstract: The present disclosure is directed toward systems, methods, and non-transitory computer readable media for generating and providing synthetic visualizations representative of content collections within a content management system. In some cases, the disclosed systems generate a synthetic visualization based on content features that indicate relevance of content items with respect to a user account to emphasize more relevant content items within the synthetic visualization and/or to represent descriptive content attributes of the content items. For example, the disclosed systems can generate a synthetic phrase that represents a content collection and can further generate a synthetic visualization from the synthetic phrase utilizing a synthetic visualization machine learning model.

公开(公告)号：US20250111148A1

公开(公告)日：2025-04-03

申请号：US18478061

申请日：2023-09-29

Applicant: Dropbox, Inc.

Inventor： Vasanth Krishna Namasivayam ,  Devin Mancuso ,  Geoff Hulten ,  Shubham Goel ,  Sateesh Srinivasan ,  Tony Xu

IPC: G06F40/20

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for generating composite actions for a user account. In particular, in one or more embodiments, the disclosed systems determine a set of tasks performable by the user account using software tools on a client device. In some embodiments, the disclosed systems generate a task initialization prompt to provide to a large language model. Additionally, in some implementations, the disclosed systems generate a composite action comprising a hybridized combination of the set of tasks performable by the user account along with a set of content items relevant to the set of tasks. Moreover, in some embodiments, the disclosed systems provide access to the composite action and the set of content items via a user interface of the client device. Furthermore, in some implementations, the disclosed systems generate and insert predicted content into a content item without user input.

公开(公告)号：US20250111149A1

公开(公告)日：2025-04-03

申请号：US18478066

申请日：2023-09-29

Applicant: Dropbox, Inc.

Inventor： Vasanth Krishna Namasivayam ,  Devin Mancuso ,  Geoff Hulten ,  Shubham Goel ,  Sateesh Srinivasan ,  Tony Xu

IPC: G06F40/20 ,  G06F11/34

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for generating composite actions for a user account. In particular, in one or more embodiments, the disclosed systems determine a set of tasks performable by the user account using software tools on a client device. In some embodiments, the disclosed systems generate a task initialization prompt to provide to a large language model. Additionally, in some implementations, the disclosed systems generate a composite action comprising a hybridized combination of the set of tasks performable by the user account along with a set of content items relevant to the set of tasks. Moreover, in some embodiments, the disclosed systems provide access to the composite action and the set of content items via a user interface of the client device. Furthermore, in some implementations, the disclosed systems generate and insert predicted content into a content item without user input.