公开(公告)号：US20210089822A1

公开(公告)日：2021-03-25

申请号：US16675671

申请日：2019-11-06

Applicant: Dropbox, Inc.

Inventor： Jongmin Baek ,  Jiarui Ding ,  Neeraj Kumar

IPC: G06K9/62 ,  G06F16/2457 ,  G06F16/178 ,  G06N20/00

Abstract: Techniques for learning and using content type embeddings. The content type embeddings have the useful property that a distance in an embedding space between two content type embeddings corresponds to a semantic similarity between the two content types represented by the two content type embeddings. The closer the distance in the space, the more the two content types are semantically similar. The farther the distance in the space, the less the two content types are semantically similar. The learned content type embeddings can be used in a content suggestion system as machine learning features to improve content suggestions to end-users.

公开(公告)号：US10956511B2

公开(公告)日：2021-03-23

申请号：US16144448

申请日：2018-09-27

Applicant: Dropbox, Inc.

Inventor： Neeraj Kumar

IPC: G06F16/93 ,  G06F16/432 ,  G06K9/00

Abstract: One or more embodiments of a document organization system quickly and conveniently provide digital documents to a user on a client device based on a physical object. In particular, the document organization system can receive an image of a physical document and an identifier from a first client device, identify digital documents that match the physical document, and provide the matching digital documents to a second client device, which displays the identifier. In another embodiment, the document organization system allows a user to bind digital documents to a physical object and later recall the digital documents using the physical object. In addition, the document organization system can store and recall the layout arrangement of digital documents on a client device when binding and recalling the digital documents to the physical object.

公开(公告)号：US09852377B1

公开(公告)日：2017-12-26

申请号：US15348616

申请日：2016-11-10

Applicant: DROPBOX, INC.

Inventor： Neeraj Kumar

IPC: G06F17/00 ,  G06N5/04 ,  G06F17/30 ,  G06N99/00

CPC classification number: G06N5/04 ,  G06F17/30126 ,  G06F17/30312 ,  G06F17/3053 ,  G06F17/30557 ,  G06F17/30598 ,  G06F17/3097 ,  G06N99/005

Abstract: One or more embodiments of a content system provide machine-learned storage location recommendations for storing content items. Specifically, an online content management system can train a machine-learning model to identify a storage pattern from previously stored content items in a plurality of storage locations corresponding to a user account of a user. Training the machine-learning model includes training a plurality of classifiers for the plurality of storage locations. The online content management system uses the classifiers to determine whether a content item is similar to the content items in any of the storage locations, and based on the output of the classifiers, provides graphical elements indicating recommended storage locations within a graphical user interface. The user can select a graphical element to move the content item to the corresponding storage location.

公开(公告)号：US20170286415A1

公开(公告)日：2017-10-05

申请号：US15086912

申请日：2016-03-31

Applicant: DROPBOX, INC.

Inventor： Neeraj Kumar

IPC: G06F17/30 ,  G06K9/00

CPC classification number: G06F17/30011 ,  G06F17/30047 ,  G06K9/00456

Abstract: One or more embodiments of a document organization system quickly and conveniently provide digital documents to a user on a client device based on a physical object. In particular, the document organization system can receive an image of a physical document and an identifier from a first client device, identify digital documents that match the physical document, and provide the matching digital documents to a second client device, which displays the identifier. In another embodiment, the document organization system allows a user to bind digital documents to a physical object and later recall the digital documents using the physical object. In addition, the document organization system can store and recall the layout arrangement of digital documents on a client device when binding and recalling the digital documents to the physical object.

公开(公告)号：US12099566B2

公开(公告)日：2024-09-24

申请号：US16675671

申请日：2019-11-06

Applicant: Dropbox, Inc.

Inventor： Jongmin Baek ,  Jiarui Ding ,  Neeraj Kumar

IPC: G06N20/10 ,  G06F16/957 ,  G06F18/2413 ,  G06N3/047 ,  G06N3/08 ,  G06N7/01 ,  G06V10/764 ,  G06V10/82 ,  G06F16/178 ,  G06F16/2457

CPC classification number: G06F16/9577 ,  G06F18/24137 ,  G06N3/047 ,  G06N3/08 ,  G06N7/01 ,  G06N20/10 ,  G06V10/764 ,  G06V10/82 ,  G06F16/178 ,  G06F16/24573

Abstract: Techniques for learning and using content type embeddings. The content type embeddings have the useful property that a distance in an embedding space between two content type embeddings corresponds to a semantic similarity between the two content types represented by the two content type embeddings. The closer the distance in the space, the more the two content types are semantically similar. The farther the distance in the space, the less the two content types are semantically similar. The learned content type embeddings can be used in a content suggestion system as machine learning features to improve content suggestions to end-users.

公开(公告)号：US10102206B2

公开(公告)日：2018-10-16

申请号：US15086912

申请日：2016-03-31

Applicant: DROPBOX, INC.

Inventor： Neeraj Kumar

IPC: G06K9/00 ,  G06F17/30

Abstract: One or more embodiments of a document organization system quickly and conveniently provide digital documents to a user on a client device based on a physical object. In particular, the document organization system can receive an image of a physical document and an identifier from a first client device, identify digital documents that match the physical document, and provide the matching digital documents to a second client device, which displays the identifier. In another embodiment, the document organization system allows a user to bind digital documents to a physical object and later recall the digital documents using the physical object. In addition, the document organization system can store and recall the layout arrangement of digital documents on a client device when binding and recalling the digital documents to the physical object.

公开(公告)号：US20180129950A1

公开(公告)日：2018-05-10

申请号：US15814642

申请日：2017-11-16

Applicant: DROPBOX, INC.

Inventor： Neeraj Kumar

IPC: G06N5/04 ,  G06N99/00 ,  G06F17/30

CPC classification number: G06N5/04 ,  G06F16/168 ,  G06F16/22 ,  G06F16/24578 ,  G06F16/25 ,  G06F16/285 ,  G06F16/90324 ,  G06N20/00

Abstract: One or more embodiments of a content system provide machine-learned storage location recommendations for storing content items. Specifically, an online content management system can train a machine-learning model to identify a storage pattern from previously stored content items in a plurality of storage locations corresponding to a user account of a user. Training the machine-learning model includes training a plurality of classifiers for the plurality of storage locations. The online content management system uses the classifiers to determine whether a content item is similar to the content items in any of the storage locations, and based on the output of the classifiers, provides graphical elements indicating recommended storage locations within a graphical user interface. The user can select a graphical element to move the content item to the corresponding storage location.

公开(公告)号：US12013901B2

公开(公告)日：2024-06-18

申请号：US17205359

申请日：2021-03-18

Applicant: Dropbox, Inc.

Inventor： Neeraj Kumar

IPC: G06F16/93 ,  G06F16/432 ,  G06V30/413

CPC classification number: G06F16/93 ,  G06F16/434 ,  G06V30/413

Abstract: One or more embodiments of a document organization system quickly and conveniently provide digital documents to a user on a client device based on a physical object. In particular, the document organization system can receive an image of a physical document and an identifier from a first client device, identify digital documents that match the physical document, and provide the matching digital documents to a second client device, which displays the identifier. In another embodiment, the document organization system allows a user to bind digital documents to a physical object and later recall the digital documents using the physical object. In addition, the document organization system can store and recall the layout arrangement of digital documents on a client device when binding and recalling the digital documents to the physical object.

公开(公告)号：US20210382893A1

公开(公告)日：2021-12-09

申请号：US16895559

申请日：2020-06-08

Applicant: Dropbox, Inc.

Inventor： Madan Kumar ,  Sravan Mantha ,  Neeraj Kumar

IPC: G06F16/2453 ,  G06F16/23 ,  G06N5/04 ,  G06N20/00

Abstract: The present disclosure is directed toward systems and methods that efficiently and effectively identify experts relative to a key topic within an organization. For example, systems and methods described herein can receive an expert assistance query from a user looking for an expert associated with a particular topic. Systems and methods described herein can further apply a trained expert selection model to a key topic extracted from the received expert assistance query. In response to receiving an identified expert from the expert selection model, systems and methods can further identify and provide information associated with the identified expert such as the expert's contact information, the expert's team information, and other data (e.g., documents, emails, communications) authored by the expert in association with the key topic.

公开(公告)号：US20180121825A1

公开(公告)日：2018-05-03

申请号：US15336358

申请日：2016-10-27

Applicant: DROPBOX, INC.

Inventor： Neeraj Kumar

IPC: G06N99/00 ,  G06N5/04 ,  G06F3/0482

CPC classification number: G06N20/00 ,  G06F3/0482 ,  G06F17/2881

Abstract: One or more embodiments of a content naming system provide machine-learned name suggestions to a user for naming content items. Specifically, an online content management system can train a machine-learning model to identify a naming pattern from previously stored content items corresponding to a user account of the user. The online content management system uses the machine-learning model to determine a plurality of name suggestions for naming a content item associated with the user account. One or more embodiments provide graphical elements corresponding to the name suggestions within a graphical user interface. The user can select one or more graphical elements to add the corresponding name suggestion(s) to the name of the content item.