Twitter, Inc.

Stuart Hood

Kyle Maxwell

Cara Meverden

Coleen Baik

Ross Cohen

Marcel Molina

Peter Schuller

Sumeet Lahorani

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.

Embodiments are provided for managing shared states of objects associated with a distributed database. According to certain aspects, a reactor machine interfaces with a coordination service that is in communication with the distributed database to coordinate the shared states of the objects. The coordination service notifies the reactor machine when a shared state of an object has changed and, in response, the reactor machine determines a desired state of the object by executing a reactor function. The reactor machine provides the desired state of the object to the coordination service, and the coordination service updates the shared state of the object to reflect the desired state of the object. Accordingly, the logic of the reactor machine is de-coupled from the complexities of the coordination service.

Systems and methods for using a reaction-based approach to managing shared state storage associated with a distributed database

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

Stuart Hood