Generating customized meeting insights based on user interactions and meeting media
AssigneeDropbox, Inc.
InventorsShehzad Daredia, Behrooz Khorashadi
Life of this patent
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Abstract
Methods, systems, and non-transitory computer readable storage media are disclosed for generating meeting insights based on media data and device input data. In one or more embodiments, the system analyzes media data and inputs to client devices associated with a meeting to determine a portion of the meeting that is relevant for a user. In one or more embodiments, the system generates a meeting summary, meeting highlights, or action items related to the media data to provide to the client device. In one or more embodiments, the system also uses the summary, highlights, or action items to train a machine-learning model for use with future meetings.
Claims20
A computer-implemented method comprising:
- receiving, from a video conference system and at a content management system, meeting data corresponding to an online meeting hosted by the video conference system;
- generating relevance information indicating correlations between the meeting data and content items stored within the content management system for an account associated with the online meeting by processing, utilizing a trained machine-learning model, the meeting data together with text or metadata associated with the content items;
- identifying, by the content management system based on the relevance information, a content item previously stored within the content management system that is relevant to the online meeting;
- generating a content item suggestion that includes a reference to the content item;
- and
- providing the content item suggestion to at least one participant client device associated with the online meeting hosted by the video conference system.
A non-transitory computer readable storage medium comprising instructions that, when executed by at least one processor, cause a computer device to:
- receive, from a video conference system and at a content management system, meeting data corresponding to an ongoing online meeting hosted by the video conference system;
- generating relevance information indicating correlations between the meeting data and content items stored within the content management system for an account associated with the ongoing online meeting by processing, utilizing a trained machine-learning model, the meeting data together with text or metadata associated with the content items;
- identify, by the content management system based on the relevance information, a content item previously stored within the content management system that is relevant to the ongoing online meeting;
- generating a content item suggestion that includes a reference to the content item;
- and
- providing the content item suggestion to the video conference system hosting the ongoing online meeting.
A system comprising:
- at least one processor;
- and
- a non-transitory computer memory comprising instructions that, when executed by the at least one processor, cause the system to:
- receive, from a video conference system and at a content management system, meeting data corresponding to an online meeting hosted by the video conference system;
- generating relevance information indicating correlations between the meeting data and content items stored within the content management system for an account associated with the online meeting by processing, utilizing a trained machine-learning model, the meeting data together with text or metadata associated with the content items;
- identify, by the content management system based on the relevance information, a content item previously stored within the content management system that is relevant to the online meeting;
- generate a content item suggestion that includes a reference to the content item;
- and
- provide the content item suggestion to at least one participant client device associated with the online meeting hosted by the video conference system.
Dependencies are inferred from the claim text.