公开(公告)号：US20230186071A1

公开(公告)日：2023-06-15

申请号：US17548519

申请日：2021-12-11

Applicant: Dropbox, Inc.

Inventor： Tristan Frederick Rice ,  Jongmin Baek ,  Ermo Wei ,  Morgan Zerby ,  Win Suen ,  David Lichtenberg ,  Thomas Berg ,  Christopher Lesniewski-Laas ,  Brandon Obas ,  Mingming Liu ,  Zachary Smetana ,  Bryan Guillemette ,  Panashe Machinda Fundira ,  Kevin Li ,  Vidit Bhargava

IPC: G06N3/08

CPC classification number: G06N3/08

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：US20240411728A1

公开(公告)日：2024-12-12

申请号：US18811976

申请日：2024-08-22

Applicant: Dropbox, Inc.

Inventor： Nipunn Koorapati ,  Pranav Vishnu Ramabhadran ,  Gautam Gupta ,  Adam Arbree ,  Michael Nilsson ,  Parker Timmerman ,  Stanimir Pehlivanov ,  Sourabh Yerfule ,  Yuyang Guo ,  Bryan Guillemette ,  Zihao Yang ,  Rishabh Jain ,  Jonathan Chien ,  Royce Ausburn ,  David Aeschlimann

IPC: G06F16/178 ,  G06F16/13 ,  G06F16/16 ,  G06F21/62 ,  H04L67/1097

Abstract: Technologies for implementing customized behaviors for content items are provided. An example method can include receiving, from a user account registered with a content management system, a request to access a content item managed by the content management system for the user account, the content item having one or more behaviors configured for an attribute associated with the content item and/or the content item associated with the attribute; obtaining, from a representation of a remote state of content items associated with the user account, metadata defining the attribute associated with the content item; based on the metadata, determining the one or more behaviors configured for the attribute and/or the content item associated with the attribute; and applying the one or more behaviors to the content item.

公开(公告)号：US20220188273A1

公开(公告)日：2022-06-16

申请号：US17121381

申请日：2020-12-14

Applicant: Dropbox, Inc.

Inventor： Nipunn Koorapati ,  Pranav Vishnu Ramabhadran ,  Gautam Gupta ,  Adam Arbree ,  Michael Nilsson ,  Parker Timmerman ,  Stanimir Pehlivanov ,  Sourabh Yerfule ,  Yuyang Guo ,  Bryan Guillemette ,  Zihao Yang ,  Rishabh Jain ,  Jonathan Chien ,  Royce Ausburn ,  David Aeschlimann

IPC: G06F16/178 ,  G06F16/16 ,  G06F16/13 ,  H04L29/08

Abstract: Technologies for implementing customized behaviors for content items are provided. An example method can include receiving, from a user account registered with a content management system, a request to access a content item managed by the content management system for the user account, the content item having one or more behaviors configured for an attribute associated with the content item and/or the content item associated with the attribute; obtaining, from a representation of a remote state of content items associated with the user account, metadata defining the attribute associated with the content item; based on the metadata, determining the one or more behaviors configured for the attribute and/or the content item associated with the attribute; and applying the one or more behaviors to the content item.

公开(公告)号：US12105677B2

公开(公告)日：2024-10-01

申请号：US17121381

申请日：2020-12-14

Applicant: Dropbox, Inc.

Inventor： Nipunn Koorapati ,  Pranav Vishnu Ramabhadran ,  Gautam Gupta ,  Adam Arbree ,  Michael Nilsson ,  Parker Timmerman ,  Stanimir Pehlivanov ,  Sourabh Yerfule ,  Yuyang Guo ,  Bryan Guillemette ,  Zihao Yang ,  Rishabh Jain ,  Jonathan Chien ,  Royce Ausburn ,  David Aeschlimann

IPC: G06F16/178 ,  G06F16/13 ,  G06F16/16 ,  G06F21/62 ,  H04L67/1097

CPC classification number: G06F16/178 ,  G06F16/13 ,  G06F16/168 ,  G06F21/629 ,  H04L67/1097

Abstract: Technologies for implementing customized behaviors for content items are provided. An example method can include receiving, from a user account registered with a content management system, a request to access a content item managed by the content management system for the user account, the content item having one or more behaviors configured for an attribute associated with the content item and/or the content item associated with the attribute; obtaining, from a representation of a remote state of content items associated with the user account, metadata defining the attribute associated with the content item; based on the metadata, determining the one or more behaviors configured for the attribute and/or the content item associated with the attribute; and applying the one or more behaviors to the content item.

公开(公告)号：US20230185769A1

公开(公告)日：2023-06-15

申请号：US17548520

申请日：2021-12-11

Applicant: Dropbox, Inc.

Inventor： David Lichtenberg ,  Thomas Berg ,  Christopher Lesniewski-Laas ,  Brandon Obas ,  Mingming Liu ,  Zachary Smetana ,  Bryan Guillemette ,  Panashe Machinda Fundira ,  Kevin Li ,  Vidit Bhargava

IPC: G06F16/16 ,  G06F3/0482 ,  G06N20/00

CPC classification number: G06F16/168 ,  G06F3/0482 ,  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.