Abstract: Methods, apparatuses and systems directed to detecting objects in user-uploaded multimedia such as photos and videos, determining the location at which the media was captured, inferring a set of users of a social network who were physically present at the time and place of capture, and pushing remarketing content to the set of inferred users for the detected objects, or alternatively, the competitors of the detected concepts.

Abstract: In particular embodiments a social networking system captures data associated with video content provided to a first user of a social-networking system, identifies, using the captured data, the video content provided to the first user, and updates a graph of the social-networking system to associate the first user with the identified video content. The graph of the social-networking system has a plurality of nodes and edges connecting the nodes. The nodes of the graph include user nodes that are each associated with a particular user of the social-networking system.

Abstract: In one embodiment, while a mobile electronic device is in a first operation state, it receives sensor data from one or more sensors of the mobile electronic device. The mobile electronic device in a locked state analyzes the sensor data to estimate whether an unlock operation is imminent, and in response to a positive determination, initializes the camera subsystem so that the camera is ready to capture a face as soon as the user directs the camera lens to his or her face. In particular embodiments, the captured image is utilized by a facial recognition algorithm to determine whether the user is authorized to use the mobile device. In particular embodiments, the captured facial recognition image may be leveraged for use on a social network.

Abstract: In particular embodiments, one or more computer systems of a social-networking system determine identities of one or more users in proximity to a display device and query a social graph of the social-networking system for social content associated with the determined identities. The social graph includes nodes and edges connecting the nodes. The nodes include user nodes that are each associated with a particular user of the social-networking system. The one or more computer systems of the social-networking system identify, using the social content, recommended media content for the one or more users in proximity to the display device and provide a playlist for display on the display device. The playlist includes the recommended media content for the one or more users in proximity to the display device.

Abstract: In one embodiment, a social networking system maintains a moving average of the number of connection problems, including socket timeouts and failed uploads, per client in a geographic area to determine whether the wireless data network serving the geographic area is overloaded. In response to detecting a network overload, the social networking system may transmit an instruction to the clients in the particular geographic area to enter one of a plurality of traffic throttling modes. In particular embodiments, the social networking system maintains a historical log of network overload conditions, and uses the historical log to generate an estimate of the wireless network capacity serving a geographic area. Thus, the social networking system may preemptively transmit instructions to clients to enter a bandwidth-conservation mode when the estimated traffic demand exceeds the estimated capacity for a particular geographic region.

Abstract: In particular embodiments, a social TV dongle receives a first video stream from a content source using a first interface and receives social content from a social-networking system using a second interface. The social TV dongle generates a modified video stream using at least the first video stream and the social content and sends the modified video stream to a display device using a third interface.

Abstract: In one embodiment, a first computing device determines a priority of a communication to be pushed to a second computing device. The priority of the communication is based on a relevance score of the communication with respect to a user of the second computing device. The first computing device sends the communication via a push notification to the second computing device if the priority exceeds a predetermined threshold. The push notification itself comprises the priority of the communication, and the push notification is received by a secondary processor of the second computing device.

Abstract: Particular embodiments may store, at a client device, information associated with nodes and edges of a social graph. A node may comprise a user node or a concept node. Each node may be connected by edges to other nodes of the social graph. A first user may be associated with a first user node of the social graph. The client device may receive a character string from the first user, and identify, as the first user inputs the character string, an edge-type based on the character string and one or more edges of the identified edge-type, wherein the edges are locally stored on the client device. The client device may display one or more predictive typeahead results based on the identified edge-type and the identified edges. The predictive typeahead results may correspond to nodes stored locally on the client device.

Abstract: In particular embodiments, one or more images associated with a primary user are received. The image(s) may comprise single images, a series of related images, or video frames. In each image, one or more faces are detected and/or tracked. For each face, a set of one or more candidates are selected who may be identified with the face. The primary user has a computed measure of affinity for candidates in the set through a social network, or the candidate in the set is otherwise known to the primary user. A facial recognition score is calculated for each candidate. A subset of candidates is selected, wherein each candidate in the subset has a facial recognition score above a predetermined threshold. A candidate score is calculated for each candidate based on the facial recognition score and the computed measure of affinity. A winning candidate is selected based on the candidate scores.

Abstract: In particular embodiments, one or more computer systems of a social-networking system provide social content for display in a mobile application running on a mobile device of a user of the social-networking system. The mobile application is configured to display the social content and an interface for selecting media content to view on a display device. The social content is from a social graph of the social-networking system. The social graph includes nodes and edges connecting the nodes. The nodes include user nodes that are each associated with a particular user of the social-networking system. The one or more computer systems of the social-networking system receive an indication from the mobile application that an option to view particular media content has been selected and provide one or more instructions to display the selected particular media content on the display device.

Abstract: Window curtain tension rod assemblies that include a telescoping rod and two bracket assemblies each including a support arm and a mounting bracket are disclosed. Each support arm may include a first end receiving an end of the curtain rod, a second end, and a U-shaped section between the first and second ends. The mounting bracket may be attached to the second end, and include a contact pad for engaging an interior sidewall of a window frame. The U-shaped section provides a curtain overlap region when a curtain is drawn onto the U-shaped section of the support arm from the curtain rod. At least one of the bracket assemblies may include a tension adjusting mechanism to move an end of the curtain rod away from the bracket assembly to thereby force the mounting bracket against the sidewalls of the window frame.

Abstract: In one embodiment, while a mobile electronic device is in a first operation state, it receives sensor data from one or more sensors of the mobile electronic device. The mobile electronic device in a locked state analyzes the sensor data to estimate whether an unlock operation is imminent, and in response to a positive determination, initializes the camera subsystem so that the camera is ready to capture a face as soon as the user directs the camera lens to his or her face. In particular embodiments, the captured image is utilized by a facial recognition algorithm to determine whether the user is authorized to use the mobile device. In particular embodiments, the captured facial recognition image may be leveraged for use on a social network.

Abstract: In particular embodiments, one or more images associated with a primary user are received. The image(s) may comprise single images, a series of related images, or video frames. In each image, one or more faces are detected and/or tracked. For each face, a set of one or more candidates are selected who may be identified with the face. A candidate score is calculated for each candidate based on a computed measure of affinity of the primary user for a particular candidate, a facial recognition score comparing the candidate to the face, and a geographic proximity of the candidate to the primary user at a time when the one or more images were created. A winning candidate is selected based on the candidate scores.

Abstract: In one embodiment, a method includes receiving data corresponding to a set of sensor values and one or more indicators that each correspond to one of a number of physical states of a client device. The client device includes a first and second set of sensors. The method also includes generating a number of functions that each determine a probability that the client device is in a respective one of the physical states. The determination includes correlating the set of sensor values with a corresponding physical state of the client device. A first function of the number of functions is based on sensor values of the first set of sensors. A second function of the number of functions is based on sensor values of the second set of sensors. The method also includes sending the number of functions to the client device.

Abstract: In one embodiment, a social networking system maintains a moving average of the number of connection problems, including socket timeouts and failed uploads, per client in a geographic area to determine whether the wireless data network serving the geographic area is overloaded. In response to detecting a network overload, the social networking system may transmit an instruction to the clients in the particular geographic area to enter one of a plurality of traffic throttling modes. In particular embodiments, the social networking system maintains a historical log of network overload conditions, and uses the historical log to generate an estimate of the wireless network capacity serving a geographic area. Thus, the social networking system may preemptively transmit instructions to clients to enter a bandwidth-conservation mode when the estimated traffic demand exceeds the estimated capacity for a particular geographic region.

Abstract: In one embodiment, a method includes receiving data associated with multiple first client devices, the data corresponding to a first set of sensor values and physical-state indicators of the first client devices; receiving data associated with a second client device corresponding to a second set of sensor values, the second client device including a first and a second set of sensors; generating functions that each determine a probability that the second client device is in a particular physical state, wherein the determination includes correlating the second set of sensor values with a corresponding physical state of the second client device based on the data associated with the multiple first client devices, and wherein a first function is based on values of the first set of sensors and a second function is based on values of the second set of sensors; and sending the generated functions to the second client device.

Abstract: In particular embodiments, a social TV dongle receives a first video stream from a content source using a first interface and receives social content from a social-networking system using a second interface. The social TV dongle generates a modified video stream using at least the first video stream and the social content and sends the modified video stream to a display device using a third interface.

Abstract: Particular embodiments may retrieve information associated with one or more nodes of a social graph from one or more data stores. A node may comprise a user node or a concept node. Each node may be connected by edges to other nodes of a social graph. A first user may be associated with a first user node of the social graph. Particular embodiments may detect that the first user is entering an input term. Predictive typeahead results may be provided as the first user enters the input term. The predictive typeahead results may be based on the input term. Each predictive typeahead result may include at least one image. Each predictive typeahead result may correspond to at least one node of the social graph.

Abstract: A method including, by a computing device, receiving an indication of an electronic communication from a first user to a second user, receiving a location of the first user, determining an urgency of the electronic communication based at least in part on the location of the user, and providing an indication of the urgency as determined for presentation to the second user.

Abstract: The invention is directed to a storage device utilizing laptop storage drives and rackmount server adapted to use the same. The storage device includes a body and drive software. The drive and internal portions of the body are adapted to form contact fits. The software of the storage device provides an electronic interface that permits operations of advantageous RAID configurations.