Twitter, Inc.

Ross Cohen

Kyle Maxwell

Stuart Hood

Coleen Baik

Marcel Molina

Cara Meverden

Arya Asemanfar

Erin Moore

According to an aspect, a method for identifying relevant messages in a conversation graph on a messaging platform includes transmitting, over a network, messages between a plurality of users on the messaging platform, generating a conversation graph based on relationships between the messages, where the conversation graph includes a plurality of messages related to a conversation, and the plurality of messages of the conversation graph include a root message and one or more reply messages connected to the root message. The method includes marking a subset of the plurality of messages of the conversation graph as relevant to the conversation, including marking a message from a user account having a credibility rating over a threshold level, and transmitting, over the network, digital information to render the subset of the plurality of messages on a user interface of a computing device.

Identifying relevant messages in a conversation graph

A method, system, and non-transitory computer readable medium for identifying a relevant conversation. The method can include: identifying a conversation graph including identifiers of messages posted by a set of authoring accounts; identifying a relevance score for each authoring account; applying, by a computer processor, a first relevance filter to the conversation graph in order to modify the set of relevance scores; applying, by the computer processor and after applying the first relevance filter, a second relevance filter to the conversation graph in order to further modify the set of relevance scores; selecting, based on the set of relevance scores and after applying the second relevance filter, a subset of messages of the conversation graph for inclusion in the relevant conversation; and providing at least a portion of the relevant conversation to a client device.

A method and system for identifying relevant messages in a conversation graph includes identifying a context message within the conversation graph. The context message is marked as relevant and additional messages are marked as relevant based on various criteria. A plurality of authors of messages marked as relevant is identified and a plurality of unmarked messages authored by the plurality of authors is marked as relevant. In addition, a plurality of parent messages of messages marked as relevant are identified and marked as relevant. A list comprising messages marked as relevant is then provided to a user. Multiple steps can be repeated until convergence after which the list can be provided to the user.

A method, system, and non-transitory computer readable medium for displaying relevant messages of a conversation graph. A reverse chronological stream of messages broadcasted to a recipient account of a messaging platform is received. The set of authoring accounts having a predefined graph relationship with the recipient account. Among the stream of messages, a message determined to be a part of a relevant conversation is identified. Additional content associated with the conversation is then inserted into the stream. A client displaying the stream displays the conversation related content with one or more display elements depicting relationships among messages of the conversation.

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San Francisco, CA, United States of America

Ross Cohen