US 12,292,936 B2
Intelligent asset suggestions based on both previous phrase and whole asset performance
Timothy Edward Jaeger, Bloomfield, NJ (US); Caren Zeng, Brooklyn, NY (US); Maxwell Ryan Hagler, New York, NY (US); and Sylvanus Garnet Bent, III, Palo Alto, CA (US)
Assigned to GOOGLE LLC, Mountain View, CA (US)
Appl. No. 18/011,346
Filed by Google LLC, Mountain View, CA (US)
PCT Filed Aug. 30, 2022, PCT No. PCT/US2022/042009
§ 371(c)(1), (2) Date Dec. 19, 2022,
PCT Pub. No. WO2024/049415, PCT Pub. Date Mar. 7, 2024.
Prior Publication US 2024/0241913 A1, Jul. 18, 2024
Int. Cl. G06F 16/95 (2019.01); G06Q 30/0241 (2023.01)
CPC G06F 16/95 (2019.01) [G06Q 30/0276 (2013.01)] 19 Claims
OG exemplary drawing
 
1. A computer implemented method comprising:
obtaining data indicative of user input via a user interface associated with a construction workflow;
determining one or more keywords associated with the user input;
determining one or more suggested content items based on the one or more keywords;
generating a predicted performance increase associated with each respective content item of the one or more suggested content items;
ranking the one or more suggested content items based at least in part on the predicted performance increase;
generating, automatically, a first constructed content item comprising at least a first suggested content item of the one or more suggested content items based at least in part on:
comparing a first predicted performance increase associated with the first suggested content item to a threshold predicted performance increase value, wherein the threshold predicted performance increase value is determined based on user input data; and
determining the first predicted performance increase is above the threshold predicted performance increase value;
augmenting a database of constructed content items to include the first constructed content item; and
performing a matching process to provide the first constructed content item for display on a second user device based at least in part on a predicted probability of user interaction with the first constructed content item.