US 11,743,345 B2
Computing system implementing local context resolution and evaluation for network latency reduction
Khalid Karim, San Francisco, CA (US); Egor Gryaznov, San Francisco, CA (US); and Yunke Tang, San Francisco, CA (US)
Assigned to Uber Technologies, Inc., San Francisco, CA (US)
Filed by Uber Technologies, Inc., San Francisco, CA (US)
Filed on Dec. 8, 2020, as Appl. No. 17/115,239.
Application 17/115,239 is a continuation of application No. 16/393,795, filed on Apr. 24, 2019, granted, now 10,887,426.
Prior Publication US 2021/0092201 A1, Mar. 25, 2021
This patent is subject to a terminal disclaimer.
Int. Cl. H04L 29/06 (2006.01); H04L 29/08 (2006.01); H04L 67/306 (2022.01); H04L 67/51 (2022.01); H04L 67/61 (2022.01); H04L 67/63 (2022.01); H04L 67/50 (2022.01)
CPC H04L 67/306 (2013.01) [H04L 67/51 (2022.05); H04L 67/535 (2022.05); H04L 67/61 (2022.05); H04L 67/63 (2022.05)] 20 Claims
OG exemplary drawing
 
1. A computing system comprising:
a network communication interface;
one or more processors; and
one or more memory resources storing instructions that, when executed by the one or more processors, cause the one or more processors to:
receive, via the network communication interface, contextual data from a computing device of a user;
determine whether the user is classified in a specified group defined by a set of constraints by:
determining whether the contextual data satisfies the set of constraints;
when the contextual data does not satisfy the set of constraints, deriving or acquiring additional data associated with the contextual data; and
executing an evaluation process to determine whether the contextual data and the additional data satisfy the set of constraints in order to determine whether the user is classified in the specified group.