Abstract: Systems and methods for providing user's access to a particular version of an electronic resource (e.g., a website, web resource or the like) where versions of such electronic resources are stored across a set of servers are disclosed. In one embodiment, user's requests may be received—either requesting a particular version or as an unversioned request. A version control module (for example, a load balancer) may receive these requests and assign the user's request to a first server according to different metrics, e.g., regarding version control rules and/or effective load balancing considerations. If the initial server assigned is not able to handle the user's request, the user's request may be proxied to another server, according to different metrics. If there is no server that may handle the user's request (after a certain number of proxied requests), the request may be returned to the user as not handled.

Abstract: Systems and methods for providing user's access to a particular version of an electronic resource (e.g., a website, web resource or the like) where versions of such electronic resources are stored across a set of servers are disclosed. In one embodiment, user's requests may be received—either requesting a particular version or as an unversioned request. A version control module (for example, a load balancer) may receive these requests and assign the user's request to a first server according to different metrics, e.g., regarding version control rules and/or effective load balancing considerations. If the initial server assigned is not able to handle the user's request, the user's request may be proxied to another server, according to different metrics. If there is no server that may handle the user's request (after a certain number of proxied requests), the request may be returned to the user as not handled.

Abstract: Faces may be indexed and identified using visual and social criteria. In one example, the visual features of a face are quantified, and the quantification of the features is represented in a vector. Aspects of the vector are then represented in the form of text strings. Social context surrounding the face is also represented in the form of text strings. The text strings—both the visual-based strings and/or the social-based strings—are associated with the face, and are stored in an index. The association of these strings with the face then may make the face text-searchable on both its visual and social features. Searches on these visual and/or social features may be used to help to assist in identifying new images of faces, or to propose tags for users to apply to photos.

Abstract: Faces may be indexed and identified using visual and social criteria. In one example, the visual features of a face are quantified, and the quantification of the features is represented in a vector. Aspects of the vector are then represented in the form of text strings. Social context surrounding the face is also represented in the form of text strings. The text strings—both the visual-based strings and/or the social-based strings—are associated with the face, and are stored in an index. The association of these strings with the face then may make the face text-searchable on both its visual and social features. Searches on these visual and/or social features may be used to help to assist in identifying new images of faces, or to propose tags for users to apply to photos.