Disclosed are systems, methods, and non-transitory computer-readable storage media for setting a reminder triggered by a target device. A requesting device sends a request to a server to set a notification triggered by a target device. The request includes parameters, such as a location and a condition that define when the notification is triggered. The server sends instruction to the target device to set the notification based on the parameters. When the condition such as arrival is met by the target device in relation to the location the target device sends a message to the server that the notification has been triggered. The target device can set a geo-fence to determine the position of the target device in relation to the location, and the requesting user can dictate the size of the geo-fence. The server sends a message to the requesting device that the notification has been triggered.

Disclosed are systems, methods, and non-transitory computer-readable storage media for setting a reminder triggered by a target device. A requesting device sends a request to a server to set a notification triggered by a target device. The request includes parameters, such as a location and a condition that define when the notification is triggered. The server sends instruction to the target device to set the notification based on the parameters. When the condition such as arrival is met by the target device in relation to the location the target device sends a message to the server that the notification has been triggered. The target device can set a geo-fence to determine the position of the target device in relation to the location, and the requesting user can dictate the size of the geo-fence. The server sends a message to the requesting device that the notification has been triggered.

Method of generating customized avatars based on location information includes processor receiving from first client device location information including a location of the first client device. Processor causes a status interface to be displayed on first client device that includes selectable location items corresponding to locations based on the location information. Processor receives a selection from first client device of first selectable location item and causes avatar selection interface to be displayed on first client device that includes versions of first avatar performing actions related to the first selectable location item. Processor receives selection of first selectable version of the first avatar and generates a map interface that includes a map display based on the location information and the first selectable version of the first avatar. Processor causes the map interface to be displayed on at least one of the plurality of client devices. Other embodiments are disclosed.

The SOCIAL MATCH PLATFORM APPARATUSES, METHODS AND SYSTEMS (“SMP”) transforms platform join requests, social network info, and SMP network info inputs via SMP components NJ, JIP, CIP, OP, CN-SGU and CN-UPSOG into job info, candidate info, offer info, and social meetup info outputs. A job information request for a candidate may be obtained. Social data associated with the candidate may be determined. A social job relevancy rating for various jobs may be calculated using the social data. A job may be selected using the social job relevancy rating for the job, and information regarding the selected job may be provided.

The SOCIAL MATCH PLATFORM APPARATUSES, METHODS AND SYSTEMS (“SMP”) transforms platform join requests, social network info, and SMP network info inputs via SMP components NJ, JIP, CIP, OP, CN-SGU and CN-UPSOG into job info, candidate info, offer info, and social meetup info outputs. A job information request for a candidate may be obtained. Social data associated with the candidate may be determined. A social job relevancy rating for various jobs may be calculated using the social data. A job may be selected using the social job relevancy rating for the job, and information regarding the selected job may be provided.

Systems and methods for providing conversation assistance include receiving from at least one user device of a user, conversation information and determining that the conversation information is associated with a conversation involving the user and a first person that is associated with first conversation assistance information in a non-transitory memory. Body measurement data of the user is retrieved from the at least first user device. A need for conversation assistance in the conversation involving the user and the first person is detected using the body measurement data. First conversation assistance information associated with the first person is retrieved from the non-transitory memory. The first conversation assistance information associated with the first person is provided through the at least one user device.

Systems and methods for providing conversation assistance include receiving from at least one user device of a user, conversation information and determining that the conversation information is associated with a conversation involving the user and a first person that is associated with first conversation assistance information in a non-transitory memory. Body measurement data of the user is retrieved from the at least first user device. A need for conversation assistance in the conversation involving the user and the first person is detected using the body measurement data. First conversation assistance information associated with the first person is retrieved from the non-transitory memory. The first conversation assistance information associated with the first person is provided through the at least one user device.

A system that creates and automatically builds one or more entity models that are derived from communication-based information received over a network. Building the entity models uses machine learning, a user interface, a sentiment analyzer, a communication monitoring agent and an automated bot. Bots are created based on a bot template. New communication-based information is analyzed and processed to improve the entity model, to keep the bot up-to-date, and to update other services and products that the entity relies on. The system enables a business to cluster other entities together to assist in identifying competitors. The system provides analytical information about how users journey through an entity model. The system automatically maintains listings such as frequently asked questions. The system works in a networked environment, which may be a distributed network.

A system that creates and automatically builds one or more entity models that are derived from communication-based information received over a network. Building the entity models uses machine learning, a user interface, a sentiment analyzer, a communication monitoring agent and an automated bot. Bots are created based on a bot template. New communication-based information is analyzed and processed to improve the entity model, to keep the bot up-to-date, and to update other services and products that the entity relies on. The system enables a business to cluster other entities together to assist in identifying competitors. The system provides analytical information about how users journey through an entity model. The system automatically maintains listings such as frequently asked questions. The system works in a networked environment, which may be a distributed network.

Systems and methods for dynamically generating event cards from message streams is provided. A system receives a message of a sequence of messages from a content source, determine, from the message, the game condition of the game, compare the game condition with a previous game condition and determines events that occurred in the game based on the message and the comparison. The system can determine, for each event of the one or more events, an event type and individual player contributions of one or more players and assign, for each event of the one or more events, to each player that contributed in the event, a points allocation corresponding to the player's contribution in the event based on the points assignment policy and the event type. The system can generate event cards and transmit the event cards to emote devices according to a content filtering policy.