Abstract:
Systems, methods, and non-transitory computer-readable media can receive an image. One or more concepts depicted in the image are identified based on machine learning techniques. The one or more concepts are filtered based on filtering criteria to identify one or more selected concepts. An image description is generated comprising the one or more selected concepts.
Abstract:
Method or system for allowing a social networking system to retain users of a social networking system by identifying low-activity users who are likely to become inactive/dormant users and prompting users to initiate interactions with the low-activity users. The low-activity users are identified by monitoring activities and interactions of the users via the social networking system. If the pattern of activities and interactions satisfy one or more criteria, a computer device for providing the social networking system initiates an intervention scheme where users are induced to initiate interactions with the low-activity users. In response to the interactions, the low-activity users are likely to resume interactions via the social networking system.
Abstract:
In one embodiment, a method includes capturing one or more images of a physical environment surrounding the first user; determining that one or more of the images comprises a face; generating a facial image by cropping a region of the image comprising the face; sending instructions to perform facial recognition on the facial image; receiving a name associated with a second user of the online social network, wherein the face is associated with the second user, wherein the first user is represented by a first node on a social graph maintained by the social-networking system and the second user is represented by a second node on the social graph, and the first node and the second node are connected by at least one edge; and providing an audible indication of the name associated with the second user.
Abstract:
Method or system for allowing a social networking system to retain users of a social networking system by identifying low-activity users who are likely to become inactive/dormant users and prompting users to initiate interactions with the low-activity users. The low-activity users are identified by monitoring activities and interactions of the users via the social networking system. If the pattern of activities and interactions satisfy one or more criteria, a computer device for providing the social networking system initiates an intervention scheme where users are induced to initiate interactions with the low-activity users. In response to the interactions, the low-activity users are likely to resume interactions via the social networking system.
Abstract:
In one embodiment, a method includes capturing one or more images of a physical environment surrounding the first user; determining that one or more of the images comprises a face; generating a facial image by cropping a region of the image comprising the face; sending instructions to perform facial recognition on the facial image; receiving a name associated with a second user of the online social network, wherein the face is associated with the second user, wherein the first user is represented by a first node on a social graph maintained by the social-networking system and the second user is represented by a second node on the social graph, and the first node and the second node are connected by at least one edge; and providing an audible indication of the name associated with the second user.
Abstract:
Systems, methods, and non-transitory computer-readable media can receive an image. One or more concepts depicted in the image are identified based on machine learning techniques. The one or more concepts are filtered based on filtering criteria to identify one or more selected concepts. An image description is generated comprising the one or more selected concepts.