OPTIMIZING SEARCH RESULT SNIPPET SELECTION
    1.
    发明申请

    公开(公告)号:US20180189292A1

    公开(公告)日:2018-07-05

    申请号:US15639909

    申请日:2017-06-30

    Applicant: Dropbox, Inc.

    CPC classification number: G06F17/3053 G06F3/0482 G06F17/30011 G06F17/30696

    Abstract: Techniques for optimizing search result snippet selection. In one aspect, the techniques include receiving a query and identifying a set of documents matching the query. A set of one or more snippet field types for a snippet representing a corresponding document of the set of documents is selected based at least in part on a snippet selection model. The snippet selection model is adjusted to reinforce or discourage selection of the set of one or more snippet field types for future queries based on the user click.

    EMBEDDING A PORTION OF A SOURCE CONTENT ITEM

    公开(公告)号:US20190294659A1

    公开(公告)日:2019-09-26

    申请号:US15926676

    申请日:2018-03-20

    Applicant: Dropbox, Inc.

    Abstract: The disclosed technology relates to a system configured to access a collaborative content item stored by a content management system and receive a user selection of a portion of a source content item to embed into the collaborative content item, wherein the source content item is managed by the content management system. The system is further configured to generate a content pane within the collaborative content item and embed the portion of the source content item in the content pane of the collaborative content item.

    GENERATING DIGITAL ASSOCIATIONS BETWEEN DOCUMENTS AND DIGITAL CALENDAR EVENTS BASED ON CONTENT CONNECTIONS

    公开(公告)号:US20220147948A1

    公开(公告)日:2022-05-12

    申请号:US17583767

    申请日:2022-01-25

    Applicant: Dropbox, Inc.

    Abstract: The present disclosure relates to generating and utilizing digital associations between digital documents and digital calendar events based on determined content connections. For example, one or more embodiments suggest a digital document to a user for association with a digital calendar event based on content connections between the digital document and the digital calendar event. In particular, one or more embodiments determine a content connection based on document characteristics (e.g., document content and access characteristics) and calendar event characteristics (e.g., calendar content and historical meeting information). For example, the system can train a machine learning model to determine content connections based on document characteristics and calendar event characteristics. By associating digital documents with digital calendar events, the system can efficiently manage digital documents for participants, automatically generate new digital documents for calendar events, generate snippets for insertion within digital documents, and generate calendar event summaries and action items.

    Trending of content items based on current interactions by top collaborators

    公开(公告)号:US10102305B1

    公开(公告)日:2018-10-16

    申请号:US15590812

    申请日:2017-05-09

    Applicant: Dropbox, Inc.

    Abstract: An automated system and method for presenting trending content items to a user in a graphical user interface. The system and method generates trend scores of content items for a user based on current interactions with the content items by top collaborators of the user. By accounting for trends in the form of current content item interactions by collaborators, the system and method determines which content items are both currently relevant to a given user and currently trending among the user's collaborators. The system and method presents content items determined to be trending for a user in a graphical user interface presented to the user. The system and method system improve computers for information discovery by enabling users to spend less time searching for content items.

    Generating digital associations between documents and digital calendar events based on content connections

    公开(公告)号:US11238414B2

    公开(公告)日:2022-02-01

    申请号:US15908312

    申请日:2018-02-28

    Applicant: Dropbox, Inc.

    Abstract: The present disclosure relates to generating and utilizing digital associations between digital documents and digital calendar events based on determined content connections. For example, one or more embodiments suggest a digital document to a user for association with a digital calendar event based on content connections between the digital document and the digital calendar event. In particular, one or more embodiments determine a content connection based on document characteristics (e.g., document content and access characteristics) and calendar event characteristics (e.g., calendar content and historical meeting information). For example, the system can train a machine learning model to determine content connections based on document characteristics and calendar event characteristics. By associating digital documents with digital calendar events, the system can efficiently manage digital documents for participants, automatically generate new digital documents for calendar events, generate snippets for insertion within digital documents, and generate calendar event summaries and action items.

    IMAGE ANNOTATIONS IN COLLABORATIVE CONTENT ITEMS

    公开(公告)号:US20190121845A1

    公开(公告)日:2019-04-25

    申请号:US16223874

    申请日:2018-12-18

    Applicant: Dropbox, Inc.

    Abstract: A collaborative content management system enables users to selectively create threads and comments linked to specific portions of an image. An image comment may be indicated by a tag displayed at the location based on the specific portion of the image and having an identifier of the thread. Tags for image comments may be clustered together. When an image having image comments is replaced by a replacement image, the tags from the image may be transferred from the image to the replacement image and displayed at the same relative positions in the replacement image as positioned in the original image.

    Optimizing search result snippet selection

    公开(公告)号:US10261954B2

    公开(公告)日:2019-04-16

    申请号:US15639909

    申请日:2017-06-30

    Applicant: Dropbox, Inc.

    Abstract: Techniques for optimizing search result snippet selection. In one aspect, the techniques include receiving a query and identifying a set of documents matching the query. A set of one or more snippet field types for a snippet representing a corresponding document of the set of documents is selected based at least in part on a snippet selection model. The snippet selection model is adjusted to reinforce or discourage selection of the set of one or more snippet field types for future queries based on the user click.

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