Abstract:
In one embodiment, a mobile client system may determine its location. The mobile client system may store the location in a location history in a memory of the mobile client system, where the location history comprises one or more geographic locations and one or more time stamps corresponding to each of the geographic locations. The mobile client system may detect its current status based at least in part on whether the mobile client system is stationary. The mobile client system may send the location history to a location server of an online social network based at least in part on the current status of the mobile client system and a power requirement for sending the location history to the location server.
Abstract:
In one embodiment, a computing system may access a social graph comprising a plurality of nodes and a plurality of edges connecting the nodes, each of the edges between two of the nodes representing a single degree of separation between them, where the nodes comprise a first node corresponding to a first user of an online social network, and a plurality of second nodes that each correspond to a concept or a second user associated with the online social network. The computing system may receive a search query from the first user. The computing system may generate one or more search results corresponding to the search query, where each search result corresponds to a node of the plurality of second nodes. The computing system may score each search result based on a proximity coefficient between the first node and the node corresponding to the search result.
Abstract:
In one embodiment, a computing system may access an image associated with an online social network, where the image is associated with a first user and portrays at least a first person. The computing system may generate one or more tag suggestions for the first person portrayed in the image. Each tag suggestion corresponds to a second user from a set of second users associated with the online social network. The one or more tag suggestions may be generated based at least in part on a proximity coefficient indicating a measure of geographical proximity of the first user with respect to each second users, where the proximity coefficient is based on a location history of the first user and a location history of each second user.
Abstract:
Some embodiments include a method of operating a load-balancing engine for a social networking system receiving real-time updates from mobile devices. The method can include receiving a location-based record update associated with a user account; writing the location-based record update separately to at least two different databases; forwarding the location-based record update to an analytic engine of a web service computer system; receiving a first derivative dataset computed based on the location-based record from the analytic engine; and writing the first derivative dataset separately to the at least two different databases.
Abstract:
In one embodiment, a mobile client system of a first user may determine a first location of the mobile client system, where the first user corresponds to a first node of a social graph of the online social network, the social graph comprises a plurality of nodes and a plurality of edges connecting the nodes, and each of the edges between two of the nodes represents a single degree of separation between them. The mobile client system may send an indication of the first location and one or more and one or more notification preferences to a computing system associated with the online social network. The mobile client system may receive a notification referencing one or more second users of the online social network, where each second user is associated with a mobile client system having a second location within a threshold distance of the first location.
Abstract:
In one embodiment, a computing system may access an image associated with an online social network, where the image portrays at least a first person. The computing system may determine, for each user in a first set of users, a facial recognition score with respect to the first person portrayed in the image, where the facial recognition score is based on a facial representation associated with each user of the first set of users, where the facial representation associated with each user is compared with the image, and a comparison of a location history of each user with a location associated with the image. The computing system may generate one or more tag suggestions for the first person portrayed in the image based on the determined facial recognition scores.
Abstract:
In one embodiment, a computing system may access a social graph of an online social network comprising a plurality of nodes and a plurality of edges connecting the nodes, where each of the edges between two of the nodes represent a single degree of separation between them, and the nodes comprise a first node corresponding to a first user of the online social network, and a plurality of second nodes corresponding to a plurality of second users associated with the online social network. The computing system may calculate a content score for each of one or more content items shared by the second users on the online social network, where each content score is based at least in part on a proximity coefficient between the first user and the content item. The computing system may send one or more of the scored content items for display to the first user.
Abstract:
In one embodiment, a computing system may access a social graph of an online social network comprising a plurality of nodes and a plurality of edges connecting the nodes, where each of the edges between two of the nodes represent a single degree of separation between them, and the nodes comprise a first node corresponding to a first user of the online social network, and a plurality of second nodes corresponding to a plurality of second users associated with the online social network. The computing system may calculate a content score for each of one or more content items shared by the second users on the online social network, where each content score is based at least in part on a proximity coefficient between the first user and the content item. The computing system may send one or more of the scored content items for display to the first user.
Abstract:
In one embodiment, a computing system may access a social graph comprising a plurality of nodes and a plurality of edges connecting the nodes, each of the edges between two of the nodes representing a single degree of separation between them, the nodes comprising a first node corresponding to the first user, the first user being associated with an online social network, and a number of second nodes corresponding to a number of second users associated with the online social network. The computing system may receive an indication of a first location of a mobile-client system of the first user. The computing system may identify one or more second users based on one or more notification rules, where each second user is associated with a mobile-client system having a second location within a threshold distance of the first location.
Abstract:
In one embodiment, a mobile-client system may store location history data during a first time period in its memory, where the location history data comprises a plurality of geographic locations during the first time period and one or more time stamps corresponding to each of the geographic locations. The mobile-client system may detect whether it has a current network connection to an online social network. The mobile-client system may determine whether to transmit the stored location history data to a location server of the online social network, where if it is currently connected to the online social network, then the mobile-client system transmits the location history data to a location server using the current network connection, and if it is not currently connected to the online social network, then the mobile-client system refrains from transmitting the location history data to the location server.