Slack Technologies, Inc.

Salesforce, Inc.

Oath Inc.

Yahoo! Inc.

Callum Henderson-Begg

Daniel Stewart Butterfield

Myles Grant

Serguei Mourachov

Noah Weiss

Renaud Bourassa-Denis

Jason Liszka

John Gallagher

Isabella Tromba

Ilan Frank

Leah Jones

Samantha Stoller

Eric Vierhaus

Yongxing Deng

Caterina Fake

Todd Lindsay Wirth

April Underwood

Gregory Pelly

Matthew Mullen

Joshua E Schachter

Sean Rose

Milo Watanabe

Andreas Haugstrup Pedersen

Lauren Bosak Wagner

Christopher David Montrois

Eric Costello

Todd Wirth

The disclosure generally relates to an enterprise group-based communication system. Group-based communication channels may be created and access by client devices associated with users within the enterprise group-based communication system that have various identifiers associated therewith.

Method, apparatus, and computer program product for authorizing and authenticating user communication within an enterprise group-based communication platform

Embodiments of the present disclosure relate to a group-based communication server for associating an identifier with one or more message communications within a group-based communication system. In some embodiments, the group-based communication server comprises at least one processor and at least one memory including computer program code.

Method, apparatus, and computer program product for associating an identifier with one or more message communications within a group-based communication system

The Messaging Search and Management Apparatuses, Methods and Systems ('MSM') transforms message, ranking request inputs via MSM components into work graphs, ML structure input data, ML structure, ranking response outputs. A work graph generation request that includes group level access control data may be obtained. A set of metadata access control carrying messages, a set of users, a set of channels, and a set of topics with access control data corresponding to the group level access control data may be determined. A user priority score for each of the other users, a channel priority score for each of the channels, and a topic priority score for each of the topics, from the perspective of each user, may be calculated. A work graph data structure may be generated that includes, for each user, data regarding the calculated user priority scores, channel priority scores, and topic priority scores.

Messaging search and management apparatuses, methods and systems

Media objects, such as images or soundtracks, may be ranked according to a new class of metrics known as 'interestingness.' These rankings may be based at least in part on the quantity of user-entered metadata concerning the media object, the number of users who have assigned metadata to the media object, access patterns related to the media object, and/or a lapse of time related to the media object.

Interestingness ranking of media objects

Metadata may be associated with media objects by providing media objects for display, and accepting input concerning the media objects, where the input may include at least two different types of metadata. For example, metadata may be in the form of tags, comments, annotations or favorites. The media objects may be searched according to metadata, and ranked in a variety of ways.

Media object metadata association and ranking

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San Francisco, CA, United States of America

Callum Henderson-Begg