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1.
公开(公告)号:US20230384916A1
公开(公告)日:2023-11-30
申请号:US17931821
申请日:2022-09-13
Applicant: Dropbox, Inc.
Inventor: Sigalit Sadeh , Vasanth Krishna Namasivayam , Morgan Zerby , Sohrab Seyed Fathi , Reut Valiano , Devin Mancuso , Yael Keren , Carola Pescio Canale
IPC: G06F3/04842 , G06F3/04817
CPC classification number: G06F3/04842 , G06F3/04817
Abstract: The present disclosure is directed toward systems, methods, and non-transitory computer readable media for generating, arranging, and providing subgroupings of content items according to content attributes and dynamic facets. For example, the disclosed systems generate dynamic facets reflecting content attributes, where the dynamic facets are selectable interface elements for arranging content items into subgroups. In certain cases, as part of generating a subgrouping of content items, the disclosed systems can identify portions of content items (e.g., segments of a digital video or sections of a digital document) that correspond to a dynamic facet. The disclosed systems can also provide filtering options for creating or refining subgroupings from a content collection by, for example, filtering according to recency criteria such as file type, recency of interaction, collaborative user accounts, or others.
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2.
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.
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3.
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.
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公开(公告)号:US12105764B2
公开(公告)日:2024-10-01
申请号:US17809681
申请日:2022-06-29
Applicant: Dropbox, Inc.
Inventor: Tal Tendler , Morgan Zerby , Sigalit Sadeh , Rottem Shaul Shiloni
IPC: G06F16/9532 , G06F16/951
CPC classification number: G06F16/9532 , G06F16/951
Abstract: The present technology provides an improved search interface that provides suggested search terms in a variety of categories. The suggested search terms are first presented in an “empty search state” i.e., before the user has entered any search terms. And the suggested search terms are repeatedly refined as the user provides inputs into the search interface until a number of search results are few enough that the interface provides search results. The present technology also provides improved search suggestions. In particular, the present technology utilizes predictive algorithms including machine learning algorithms to intelligently provide suggested search terms in the variety of categories.
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公开(公告)号:US20240004940A1
公开(公告)日:2024-01-04
申请号:US17809681
申请日:2022-06-29
Applicant: Dropbox, Inc.
Inventor: Tal Tendler , Morgan Zerby , Sigalit Sadeh , Rottem Shaul Shiloni
IPC: G06F16/9532 , G06F16/951
CPC classification number: G06F16/9532 , G06F16/951
Abstract: The present technology provides an improved search interface that provides suggested search terms in a variety of categories. The suggested search terms are first presented in an “empty search state” i.e., before the user has entered any search terms. And the suggested search terms are repeatedly refined as the user provides inputs into the search interface until a number of search results are few enough that the interface provides search results. The present technology also provides improved search suggestions. In particular, the present technology utilizes predictive algorithms including machine learning algorithms to intelligently provide suggested search terms in the variety of categories.
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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
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.
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