Abstract: A system for mitigating returns is disclosed. In particular, the system may analyze an order made by a user for an item. The system may apply one or more filters to the order to determine if the ordered item is compatible with the user's profile, devices, accounts, preferences, or a combination thereof. Based on the application of the filters, the system may determine if a conflict exists between the ordered item and the user's profile, devices, accounts, preferences. If a conflict is determined to exist, the system may notify the user and adjust the order to generate a new order for a different item that is compatible for the user so as to mitigate a return. An order may then be transmitted to a virtual assistant for approval, which may reject the order or approve the order for completion.

Abstract: Consistent contextual patterns may confirm ownership. Current usage of mobile and smart devices may be compared to historical usage. If a device is being used as historically observed, then ownership of the device may be confirmed. If, however, the current usage fails to coincide with historical usage, new ownership may be inferred.

Abstract: Consistent contextual patterns may confirm ownership. Current usage of mobile and smart devices may be compared to historical usage. If a device is being used as historically observed, then ownership of the device may be confirmed. If, however, the current usage fails to coincide with historical usage, new ownership may be inferred.

Abstract: A system for providing drone piggybacking on vehicles is disclosed. In particular, the system may enable drones or other unmanned mobile connected devices to piggyback onto various types of hosts, such as vehicles, in a symbiotic fashion. Through the symbiotic relationship created between the drones and hosts, the drones may utilize the hosts as a means for transport, such as while delivering a good to an intended destination, and the hosts may receive certain incentives in exchange for transporting the drones. Drones may be paired with hosts based on any number of factors, such as whether the host is traveling on a route that corresponds with reaching the intended destination, whether the host is capable of recharging the drone, and whether the drone has sufficient power to reach the intended destination. By enabling drones to piggyback with hosts, the required traveling range for a drone may be reduced.

Abstract: Consistent contextual patterns may confirm ownership. Current usage of mobile and smart devices may be compared to historical usage. If a device is being used as historically observed, then ownership of the device may be confirmed. If, however, the current usage fails to coincide with historical usage, new ownership may be inferred.

Abstract: A system for providing drone piggybacking on vehicles is disclosed. In particular, the system may enable drones or other unmanned mobile connected devices to piggyback onto various types of hosts, such as vehicles, in a symbiotic fashion. Through the symbiotic relationship created between the drones and hosts, the drones may utilize the hosts as a means for transport, such as while delivering a good to an intended destination, and the hosts may receive certain incentives in exchange for transporting the drones. Drones may be paired with hosts based on any number of factors, such as whether the host is traveling on a route that corresponds with reaching the intended destination, whether the host is capable of recharging the drone, and whether the drone has sufficient power to reach the intended destination. By enabling drones to piggyback with hosts, the required traveling range for a drone may be reduced.

Abstract: A system for providing drone piggybacking on vehicles is disclosed. In particular, the system may enable drones or other unmanned mobile connected devices to piggyback onto various types of hosts, such as vehicles, in a symbiotic fashion. Through the symbiotic relationship created between the drones and hosts, the drones may utilize the hosts as a means for transport, such as while delivering a good to an intended destination, and the hosts may receive certain incentives in exchange for transporting the drones. Drones may be paired with hosts based on any number of factors, such as whether the host is traveling on a route that corresponds with reaching the intended destination, whether the host is capable of recharging the drone, and whether the drone has sufficient power to reach the intended destination. By enabling drones to piggyback with hosts, the required traveling range for a drone may be reduced.

Abstract: Aspects of the subject disclosure may include, for example, obtaining identification information associated with a group of users participating in a communication session in which content is presented, determining weighting factors associated with the group of users according to the identification information, obtaining sensor data captured from a sensor device in proximity to the group of users, determining individual feedback data associated with each of the group of users based on the sensor data, determining aggregate feedback data for the group of users based on the individual feedback data where the determining of the aggregate feedback data comprises applying the weighting factors to the individual feedback data, and providing feedback information indicative of the aggregate feedback data. Other embodiments are disclosed.

Abstract: A system for providing drone piggybacking on vehicles is disclosed. In particular, the system may enable drones or other unmanned mobile connected devices to piggyback onto various types of hosts, such as vehicles, in a symbiotic fashion. Through the symbiotic relationship created between the drones and hosts, the drones may utilize the hosts as a means for transport, such as while delivering a good to an intended destination, and the hosts may receive certain incentives in exchange for transporting the drones. Drones may be paired with hosts based on any number of factors, such as whether the host is traveling on a route that corresponds with reaching the intended destination, whether the host is capable of recharging the drone, and whether the drone has sufficient power to reach the intended destination. By enabling drones to piggyback with hosts, the required traveling range for a drone may be reduced.

Abstract: Consistent contextual patterns may confirm ownership. Current usage of mobile and smart devices may be compared to historical usage. If a device is being used as historically observed, then ownership of the device may be confirmed. If, however, the current usage fails to coincide with historical usage, new ownership may be inferred.

Abstract: A system for mitigating returns is disclosed. In particular, the system may analyze an order made by a user for an item. The system may apply one or more filters to the order to determine if the ordered item is compatible with the user's profile, devices, accounts, preferences, or a combination thereof. Based on the application of the filters, the system may determine if a conflict exists between the ordered item and the user's profile, devices, accounts, preferences. If a conflict is determined to exist, the system may notify the user and adjust the order to generate a new order for a different item that is compatible for the user so as to mitigate a return. An order may then be transmitted to a virtual assistant for approval, which may reject the order or approve the order for completion.