US 12,013,862 B1
Sponsored search ranking simulation for patterns triggered by natural language queries
Bernard Mont-Reynaud, Sunnyvale, CA (US); Keyvan Mohajer, Los Gatos, CA (US); Kamyar Mohajer, San Jose, CA (US); and Chris Wilson, Sunnyvale, CA (US)
Assigned to SoundHound AI IP, LLC, Santa Clara, CA (US)
Filed by SoundHound, Inc., Santa Clara, CA (US)
Filed on Dec. 27, 2019, as Appl. No. 16/728,389.
Application 16/728,389 is a continuation of application No. 14/459,275, filed on Aug. 13, 2014, abandoned.
Claims priority of provisional application 61/869,031, filed on Aug. 22, 2013.
Int. Cl. G06F 16/2457 (2019.01); G06F 16/951 (2019.01); G06Q 30/0251 (2023.01)
CPC G06F 16/24578 (2019.01) [G06F 16/951 (2019.01); G06Q 30/0256 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method of predicting future ad price distributions, the method comprising:
configuring a memory with a database of past natural language queries, the past natural language queries being represented as deep structures;
configuring the memory with a database of active sponsored messages, the active sponsored messages comprising natural language trigger patterns and corresponding prices;
configuring the memory with a database of projected results of the past queries processed against the natural language trigger patterns and the corresponding prices of the active sponsored messages;
indexing data stored in the database of past natural language queries, the indexing being based on the deep structures;
predicting future ad price distributions from the projected results of the past queries processed against the natural language trigger patterns and the corresponding prices of the active sponsored messages; and
reporting the future ad price distributions to an advertiser.