Abstract:
In one embodiment, a system may receive sponsor specifications from a sponsor designating one or more concepts, monitor a plurality of activity streams for upload by users of matching multimedia objects, determine a geographic location associated with each matching multimedia object, receive a request from the sponsor associated with a specific geographic area, and send to a client device associated with the sponsor in response to the request information identifying the geographic locations associated with the respective matching multimedia objects that are within the specific geographic area.
Abstract:
In one embodiment, in response to data to be transmitted to or from an electronic device, the electronic device determines whether the electronic device currently has a first network connection with a sufficiently high bandwidth. If the electronic device currently does not have a first network connection with a sufficiently high bandwidth, then the electronic device estimates a future time when the electronic device is likely to have a second network connection with a sufficiently high bandwidth, and schedules transmission of the data at the future time.
Abstract:
In one embodiment, one or more computing devices determine, substantially in real time and locally at a mobile device, one or more current dynamic operating conditions of the mobile device related to energy consumption by the mobile device. The computing devices identify a pre-determined device state that corresponds to the current dynamic operating conditions of the mobile device and determine, based at least in part on the pre-determined device state, an action for the mobile device to take, the action being related to energy consumption by the mobile device.
Abstract:
In one embodiment, a geo-social networking system that automatically determines an event and tags the event to photos uploaded from multiple users based on social and spatio-temporal proximity.
Abstract:
In one embodiment, one or more computing devices receive, from one or more mobile devices respectively associated with one or more users, one or more sets of data, wherein each set of data comprises: a user identifier indicating to which user the set of data corresponds; a location where the corresponding user was at; and a time when the corresponding user was at the location. The computing devices store the one or more sets of data; and extract one or more statistics from the one or more sets of data that represent behavioral pattern of at least one of the one or more users.
Abstract:
In one embodiment, a request is received from a first user to create a location-triggered benefit that may be redeemed by a second user at a vendor and associated with a condition. The first user is not the vendor, and the condition may require that the second user go to a particular location. A record of the location-triggered benefit may be created in a database. Information may be received that the second user has satisfied the condition, and in response, the second user may be allowed to redeem the location-triggered benefit at the vendor.
Abstract:
In one embodiment, a computer system identifies a user in one or more frames of a video file, accesses a data store for image attitudinal data associated with the user, ranks the one or more frames based on the image attitudinal data associated with the user, and presents one or more top ranked frames to the user.
Abstract:
In one embodiment, in response to data to be transmitted to or from an electronic device, the electronic device determines whether the electronic device currently has a first network connection with a sufficiently high bandwidth. If the electronic device currently does not have a first network connection with a sufficiently high bandwidth, then the electronic device estimates a future time when the electronic device is likely to have a second network connection with a sufficiently high bandwidth, and schedules transmission of the data at the future time.
Abstract:
In one embodiment, a geo-social networking system automatically tags one or more social contacts of a first user to a photo of the first user by ranking the social contacts based on spatial and temporal proximity to the first user, and in response to the first user's selection of one or more top ranked social contacts, associating the selected social contacts to the photo.