Abstract: Images of items may be evaluated to identify one or more attributes of the items, including points, contours or shapes corresponding to such items or their packaging, in order to determine whether such items are authentic or counterfeit. Such attributes may be compared to corresponding attributes of items that are known to be authentic. If the attributes identified in an image of an item arriving at a fulfillment center are determined to be consistent with attributes identified in an image of an authentic item, then the item arriving at the fulfillment center may be deemed authentic. If, however, the attributes identified in the image of the item arriving at the fulfillment center are not determined to be consistent with any attributes identified in images of any authentic items, then the item arriving at the fulfillment center may be deemed counterfeit.

Abstract: Processes are disclosed for generating share recommendations for sharing content based at least in part on associated metadata of the content (e.g., geo-location of the content, the date/time of the content, subject matter of the content, etc.). A quick share system may track an individual's share history, including people with whom the individual has shared content, the date/time the content was shared, the geo-location of the individual when the content was shared, etc. Share recommendations indicating one or more suggested people with whom the individual may wish to share content may be generated for the individual, based at least in part on some of a current time/date, the individual's current location, the content metadata, the individual's share history. Share recommendations may also be based in part on an event associated with the content, user feedback data for shared content, and content analysis such as image analysis for digital images.

Abstract: Processes are disclosed for generating share recommendations for sharing content based at least in part on associated metadata of the content (e.g., geo-location of the content, the date/time of the content, subject matter of the content, etc.). A quick share system may track an individual's share history, including people with whom the individual has shared content, the date/time the content was shared, the geo-location of the individual when the content was shared, etc. Share recommendations indicating one or more suggested people with whom the individual may wish to share content may be generated for the individual, based at least in part on some of a current time/date, the individual's current location, the content metadata, the individual's share history. Share recommendations may also be based in part on an event associated with the content, user feedback data for shared content, and content analysis such as image analysis for digital images.

Abstract: Processes are disclosed for generating share recommendations for sharing content based at least in part on associated metadata of the content (e.g., geo-location of the content, the date/time of the content, subject matter of the content, etc.). A quick share system may track an individual's share history, including people with whom the individual has shared content, the date/time the content was shared, the geo-location of the individual when the content was shared, etc. Share recommendations indicating one or more suggested people with whom the individual may wish to share content may be generated for the individual, based at least in part on some of a current time/date, the individual's current location, the content metadata, the individual's share history. Share recommendations may also be based in part on an event associated with the content, user feedback data for shared content, and content analysis such as image analysis for digital images.