US 12,277,197 B2
Using neural network to classify relationship for secure lending of digital content
David Haydon, San Diego, CA (US); Monica Dabaghi, San Diego, CA (US); Urson Urbanik, San Diego, CA (US); Cullen Coughlin, San Diego, CA (US); and Yun Chen, San Diego, CA (US)
Assigned to Sony Interactive Entertainment Inc., Tokyo (JP)
Filed by Sony Interactive Entertainment Inc.
Filed on Sep. 1, 2023, as Appl. No. 18/241,440.
Application 18/241,440 is a continuation of application No. 16/704,420, filed on Dec. 5, 2019, granted, now 11,748,456.
Prior Publication US 2023/0418913 A1, Dec. 28, 2023
This patent is subject to a terminal disclaimer.
Int. Cl. G06F 21/10 (2013.01); G06N 20/00 (2019.01)
CPC G06F 21/105 (2013.01) [G06F 21/10 (2013.01); G06N 20/00 (2019.01)] 23 Claims
OG exemplary drawing
 
1. In a server configured to operate on a network, a method for secured lending of digital content, comprising:
analyzing information about a first user and a second user with a neural network trained with a machine learning algorithm to determine a relationship between the first user and the second user, wherein the information indicates whether the first user has access to a device of the second user or the second user has access to a device of the first user;
granting the first user access to one or more content items belonging to the second user based on the determined relationship and disabling the second user's access to the one or more content items belonging to the second user; and
disabling the first user's access to the one or more content items belonging to the second user when the second user requests access to the one or more content items and returning access of the one or more content items to the second user after access for the first user to the one or more content items has been disabled.