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: In non-limiting examples, passive information is used to verify the location of a client computing device and to create segment categories for directed information using location-based services and/or applications. In aspects, passive information is received from a client computing device. The client computing device is detected as being located at a predicted venue using the passive information. It may be determined whether directed information associated with the predicted venue has been displayed at an earlier time on a predetermined portion of the client computing device. In response to determining directed information associated with the predicted venue has been displayed on the predetermined portion of the client computing device, a statistical model may be applied to calculate a confidence score that the client computing device is located at the predicted venue. When the confidence score meets a predetermined threshold, a directed information conversion record may be stored in a data store.

Abstract: In non-limiting examples, passive information is used to verify the location of a client computing device and to create segment categories for directed information using location-based services and/or applications. In aspects, passive information is received from a client computing device. The client computing device is detected as being located at a predicted venue using the passive information. It may be determined whether directed information associated with the predicted venue has been displayed at an earlier time on a predetermined portion of the client computing device. In response to determining directed information associated with the predicted venue has been displayed on the predetermined portion of the client computing device, a statistical model may be applied to calculate a confidence score that the client computing device is located at the predicted venue. When the confidence score meets a predetermined threshold, a directed information conversion record may be stored in a data store.

Abstract: Embodiments of the present disclosure provide methods, systems, apparatuses, and computer program products for discovery of organizational telemetry within a group-based communication system and rendering representations thereof

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

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: 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: Embodiments of the present disclosure provide methods, systems, apparatuses, and computer program products for discovery of organizational telemetry within a group-based communication system and rendering representations thereof. An interaction signal trends interface is generated based in part on an ordered interaction signal data structures list that is generated based in part on predicted short term interaction signal tallies, actual short term interaction signal tallies, and predicted long term interaction signal tallies.

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

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: In non-limiting examples, passive information is used to verify the location of a client computing device and to create segment categories for directed information using location-based services and/or applications. In aspects, passive information is received from a client computing device. The client computing device is detected as being located at a predicted venue using the passive information. It may be determined whether directed information associated with the predicted venue has been displayed at an earlier time on a predetermined portion of the client computing device. In response to determining directed information associated with the predicted venue has been displayed on the predetermined portion of the client computing device, a statistical model may be applied to calculate a confidence score that the client computing device is located at the predicted venue. When the confidence score meets a predetermined threshold, a directed information conversion record may be stored in a data store.

Abstract: In non-limiting examples, passive information is used to verify the location of a client computing device and to create segment categories for directed information using location-based services and/or applications. In aspects, passive information is received from a client computing device. The client computing device is detected as being located at a predicted venue using the passive information. It may be determined whether directed information associated with the predicted venue has been displayed at an earlier time on a predetermined portion of the client computing device. In response to determining directed information associated with the predicted venue has been displayed on the predetermined portion of the client computing device, a statistical model may be applied to calculate a confidence score that the client computing device is located at the predicted venue. When the confidence score meets a predetermined threshold, a directed information conversion record may be stored in a data store.

Abstract: In non-limiting examples, passive information is used to verify the location of a client computing device and to create segment categories for directed information using location-based services and/or applications. In aspects, passive information is received from a client computing device. The client computing device is detected as being located at a predicted venue using the passive information. It may be determined whether directed information associated with the predicted venue has been displayed at an earlier time on a predetermined portion of the client computing device. In response to determining directed information associated with the predicted venue has been displayed on the predetermined portion of the client computing device, a statistical model may be applied to calculate a confidence score that the client computing device is located at the predicted venue. When the confidence score meets a predetermined threshold, a directed information conversion record may be stored in a data store.

Abstract: A mobile application is provided that provides promoted items within a location-based service. Advertisers or other providers are permitted to have messages displayed within the mobile interface of a user within a list (or other user-interface type) of recommendations for venues. In one implementation, one or more venues may be scored based on a number of parameters (e.g., whether the user had been to the venue previously, whether their “friends” have been at the venue, whether they have unlocked “specials” or other types at this venue previously, their nearness or proximity to the venue, time of day, etc.) and if the venue has to been determined to be displayed within a list of venues, that special may be “promoted” to the top of the list that is displayed to the user. In this way, advertisers or other providers can signal location-based users of important items located proximate to the user's location.