Abstract: Embodiments of the present disclosure provide methods, systems, apparatuses, and computer program products for discovery of individual profile telemetry within a communication platform. The individual profile telemetry may represent an amount and/or frequency of communications between a user and one or more other users of the communication platform. In some examples, the individual profile telemetry may represent an amount of interactions the user has with an object of the communication platform, such as a communication channel, a communication transmitted via the communication channel, a direct messaging instance, or the like. The communication platform may determine the amount and/or frequency of interactions and provide an indication thereof to the user via an interface associated with the communication platform.

Abstract: Discovery of communication platform features or exposure of such features to the user may include generating embeddings for a variety of types of communication platform content and communications. These embeddings may be used to characterize and compare various communication platform features and ultimately expose these features to a user when the user may not have otherwise encountered them. The embeddings may additionally or alternatively be used to determine a degree of alignment.

Abstract: 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.

Abstract: This disclosure is directed to a group-based communication system that is configured to generate a group-based communication interface comprising a priority pane, a last actions pane, and a missed pane. Each of the priority pane, the last actions pane, and the missed pane and configured for efficient positioning within a defined display window of a client device.

Abstract: Discovery of communication platform features or exposure of such features to the user may include generating embeddings for a variety of types of communication platform content and communications. These embeddings may be used to characterize and compare various communication platform features and ultimately expose these features to a user when the user may not have otherwise encountered them. Embeddings may be generated to characterize a user's interactions with a communication platform and/or characterize a channel and the embeddings may be used to expose methods of communicating with the user and/or over the channel.

Abstract: Discovery of communication platform features or exposure of such features to the user may include generating embeddings for a variety of types of communication platform content and communications. These embeddings may be used to characterize and compare various communication platform features and ultimately expose these features to a user when the user may not have otherwise encountered them. Embeddings may be generated to characterize a user's interactions with a communication platform and/or characterize a channel and the embeddings may be used to expose methods of communicating with the user and/or over the channel.

Abstract: Embodiments of the present disclosure provide methods, systems, apparatuses, and computer program products for discovery of individual profile telemetry within a communication platform. The individual profile telemetry may represent an amount and/or frequency of communications between a user and one or more other users of the communication platform. In some examples, the individual profile telemetry may represent an amount of interactions the user has with an object of the communication platform, such as a communication channel, a communication transmitted via the communication channel, a direct messaging instance, or the like. The communication platform may determine the amount and/or frequency of interactions and provide an indication thereof to the user via an interface associated with the communication platform.

Abstract: Discovery of communication platform features or exposure of such features to the user may include generating embeddings for a variety of types of communication platform content and communications. These embeddings may be used to characterize and compare various communication platform features and ultimately expose these features to a user when the user may not have otherwise encountered them. Embeddings may be generated to characterize a user's interactions with a communication platform and/or characterize a channel and the embeddings may be used to expose methods of communicating with the user and/or over the channel.

Abstract: Discovery of communication platform features or exposure of such features to the user may include generating embeddings for a variety of types of communication platform content and communications. These embeddings may be used to characterize and compare various communication platform features and ultimately expose these features to a user when the user may not have otherwise encountered them.

Abstract: This disclosure is directed to a group-based communication system that is configured to generate a group-based communication interface comprising a priority pane, a last actions pane, and a missed pane. Each of the priority pane, the last actions pane, and the missed pane and configured for efficient positioning within a defined display window of a client device.

Abstract: Embodiments of the present disclosure provide methods, systems, apparatuses, and computer program products that are configured to generate a predicted channel add object in an improved system of networked computing devices. The embodiments disclose an apparatus and system that provide channel invite suggestions. The channel invite suggestions comprise recommendations of users to invite to group-based communication channels. To provide the channel-invite suggestions, the group-based communication system generates a user-channel data structure that stores a plurality of values that capture relationships between users and group-based communication channels. The values may capture information regarding membership of a user in a group-based communication channel, starring of a group-based communication channel by a user, a level of activity of a user in a group-based communication channel, and a user's word usage in a group-based communication channel.

Abstract: Embodiments of the present disclosure provide methods, systems, apparatuses, and computer program products for discovery of individual profile telemetry within a group-based communication system.

Abstract: 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.

Abstract: 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.

Abstract: Provided is a group-based communication interface and an apparatus configured to programmatically generate and provide digests of relevant group-based communications transmitted between a plurality of client devices and a group-based communication system.

Abstract: Embodiments of the present disclosure provide methods, systems, apparatuses, and computer program products for discovery of individual profile telemetry within a group-based communication system.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: Systems and methods for generating a user location history are provided. One example method includes obtaining a plurality of location reports from one or more devices associated with the user. The method includes clustering the plurality of location reports to form a plurality of segments. The method includes identifying a plurality of location entities for each of the plurality of segments. The method includes determining, for each of the plurality of segments, one or more feature values associated with each of the location entities identified for such segment. The method includes determining, for each of the plurality of segments, a score for each of the plurality of location entities based at least in part on a scoring formula. The method includes selecting one of plurality of locations entities for each of the plurality of segments.