Abstract: Systems and methods are provided for analyzing messages generated by a plurality of computing devices associated with a plurality of users in a messaging system to generate training data to train a machine learning model to determine a probability that a media content item was generated inside an enclosed location or outside, receiving a media content item from a computing device, analyzing the media content item using the trained machine learning model to determine a probability that the media content item was generated inside an enclosed location or outside, determining, based on the probability generated by the trained machine learning model, that the media content item was generated inside an enclosed location, and determining an inside temperature associated with the venue based on messages generated by a plurality of computing devices in a messaging system comprising media content items and temperature information for the venue or a similar venue type.

Abstract: Systems and methods are provided for analyzing messages generated by a plurality of computing devices associated with a plurality of users in a messaging system to generate training data to train a machine learning model to determine a probability that a media content item was generated inside an enclosed location or outside, receiving a media content item from a computing device, analyzing the media content item using the trained machine learning model to determine a probability that the media content item was generated inside an enclosed location or outside, determining, based on the probability generated by the trained machine learning model, that the media content item was generated inside an enclosed location, and determining an inside temperature associated with the venue based on messages generated by a plurality of computing devices in a messaging system comprising media content items and temperature information for the venue or a similar venue type.

Abstract: Systems and methods are provided for analyzing messages generated by a plurality of computing devices associated with a plurality of users in a messaging system to generate training data to train a machine learning model to determine a probability that a media content item was generated inside an enclosed location or outside, receiving a media content item from a computing device, analyzing the media content item using the trained machine learning model to determine a probability that the media content item was generated inside an enclosed location or outside, determining, based on the probability generated by the trained machine learning model, that the media content item was generated inside an enclosed location, and determining an inside temperature associated with the venue based on messages generated by a plurality of computing devices in a messaging system comprising media content items and temperature information for the venue or a similar venue type.

Abstract: Systems and methods are provided for determining that the first computing device is located within a predetermined geofence and that a user of the first computing device is opted into chance mode. Based on determining that the user of first computing device is opted into chance mode, systems and methods further provide for determining a subset of a plurality of computing devices that are located within the predetermined geofence and that are associated with users opted into chance mode, generating location information and user information each of the users of the subset of the plurality of computing devices, and causing display on the first computing device of indicium for each user associated with each of the subset of the plurality of computing devices on a map, each indicium presented in a location on the map associated with each of the subset of the plurality of computing devices.

Abstract: Systems and methods are provided for determining that the first computing device is located within a predetermined geofence and that a user of the first computing device is opted into chance mode. Based on determining that the user of first computing device is opted into chance mode, systems and methods further provide for determining a subset of a plurality of computing devices that are located within the predetermined geofence and that are associated with users opted into chance mode, generating location information and user information each of the users of the subset of the plurality of computing devices, and causing display on the first computing device of indicium for each user associated with each of the subset of the plurality of computing devices on a map, each indicium presented in a location on the map associated with each of the subset of the plurality of computing devices.

Abstract: Systems and methods are provided for analyzing messages generated by a plurality of computing devices associated with a plurality of users in a messaging system to generate training data to train a machine learning model to determine a probability that a media content item was generated inside an enclosed location or outside, receiving a media content item from a computing device, analyzing the media content item using the trained machine learning model to determine a probability that the media content item was generated inside an enclosed location or outside, determining, based on the probability generated by the trained machine learning model, that the media content item was generated inside an enclosed location, and determining an inside temperature associated with the venue based on messages generated by a plurality of computing devices in a messaging system comprising media content items and temperature information for the venue or a similar venue type.

Abstract: Systems and methods are provided for determining that the first computing device is located within a predetermined geofence and that a user of the first computing device is opted into chance mode. Based on determining that the user of first computing device is opted into chance mode, systems and methods further provide for determining a subset of a plurality of computing devices that are located within the predetermined geofence and that are associated with users opted into chance mode, generating location information and user information each of the users of the subset of the plurality of computing devices, and causing display on the first computing device of indicium for each user associated with each of the subset of the plurality of computing devices on a map, each indicium presented in a location on the map associated with each of the subset of the plurality of computing devices.

Abstract: Systems and methods are provided for analyzing messages generated by a plurality of computing devices associated with a plurality of users in a messaging system to generate training data to train a machine learning model to determine a probability that a media content item was generated inside an enclosed location or outside, receiving a media content item from a computing device, analyzing the media content item using the trained machine learning model to determine a probability that the media content item was generated inside an enclosed location or outside, determining, based on the probability generated by the trained machine learning model, that the media content item was generated inside an enclosed location, and determining an inside temperature associated with the venue based on messages generated by a plurality of computing devices in a messaging system comprising media content items and temperature information for the venue or a similar venue type.

Abstract: Systems and methods are provided for determining that the first computing device is located within a predetermined geofence and that a user of the first computing device is opted into chance mode. Based on determining that the user of first computing device is opted into chance mode, systems and methods further provide for determining a subset of a plurality of computing devices that are located within the predetermined geofence and that are associated with users opted into chance mode, generating location information and user information each of the users of the subset of the plurality of computing devices, and causing display on the first computing device of indicium for each user associated with each of the subset of the plurality of computing devices on a map, each indicium presented in a location on the map associated with each of the subset of the plurality of computing devices.

Abstract: Systems and methods are provided for determining that the first computing device is located within a predetermined geofence and that a user of the first computing device is opted into chance mode. Based on determining that the user of first computing device is opted into chance mode, systems and methods further provide for determining a subset of a plurality of computing devices that are located within the predetermined geofence and that are associated with users opted into chance mode, generating location information and user information each of the users of the subset of the plurality of computing devices, and causing display on the first computing device of indicium for each user associated with each of the subset of the plurality of computing devices on a map, each indicium presented in a location on the map associated with each of the subset of the plurality of computing devices.