US 11,861,516 B2
Methods and system for associating locations with annotations
Roelof van Zwol, Badalona (ES); Vanessa Murdock, Barcelona (ES); and Pavel Serdyukov, The Hague (NL)
Assigned to Verizon Patent and Licensing Inc., Basking Ridge, NJ (US)
Filed by VERIZON PATENT AND LICENSING INC., Basking Ridge, NJ (US)
Filed on Aug. 3, 2018, as Appl. No. 16/054,941.
Application 16/054,941 is a continuation of application No. 12/686,883, filed on Jan. 13, 2010, granted, now 10,068,178.
Prior Publication US 2019/0034816 A1, Jan. 31, 2019
Int. Cl. G06N 7/01 (2023.01)
CPC G06N 7/01 (2023.01) 20 Claims
OG exemplary drawing
 
1. A method, comprising:
accessing, using one or more computing systems, one or more annotations appended to one or more pictures by one or more users;
determining, using the one or more computing systems, a probability distribution of one or more geographical locations over the one or more annotations, wherein the probability distribution is based, at least in part, on (i) a probability of an annotation being present in a set of annotations associated with a geographical location of the one or more geographical locations and (ii) a second probability of an annotation being present in a second set of annotations associated with a second geographical location;
responsive to determining the probability distribution of the one or more geographical locations over the one or more annotations appended to the one or more pictures by the one or more users, storing, in a data store and using the one or more computing systems, the probability distribution of the one or more geographical locations over the one or more annotations appended to the one or more pictures by the one or more users;
determining, using the one or more computing systems, a second picture upon which one or more second annotations have been appended by one or more second users, wherein the second picture is different than the one or more pictures; and
determining, using the one or more computing systems, one or more second geographical locations corresponding to the second picture based, at least in part, on (i) the one or more second annotations appended to the second picture by the one or more second users and (ii) the probability distribution of the one or more geographical locations over the one or more annotations appended to the one or more pictures by the one or more users.