1. A method comprising: by the at least one computer processing device: receiving image metadata from an image collection that is associated with a user, the image metadata comprising processed face objects from images of the image collection; analyzing the image metadata to identify similar face objects, the similar face objects having one or more matching criteria with respect to a threshold; grouping the similar face objects into clusters, wherein, within the image collection that is associated with the user, individual clusters have different numbers of occurrences of the similar face objects; determining person identities associated with the individual clusters; and ranking the person identities based on the different numbers of occurrences of the similar face objects within the image collection that is associated with the user, the person identities including a first person identity of a first person other than the user and a second person identity of a second person other than the user, wherein the first person identity is associated with a first individual cluster having a first number of occurrences of face objects of the first person and the second person identity is associated with a second individual cluster having a second number of occurrences of face objects of the second person, wherein the first number of occurrences is greater than the second number of occurrences and the first person identity is ranked higher than the second person identity.