US 12,306,837 B2
Intuitive data retrieval and visualization with large language models and logic programming
Evgeny Skvortsov, Kirkland, WA (US); Shayan Mirjafari, Seattle, WA (US); and Wei-Ting Liao, Kirkland, WA (US)
Assigned to GOOGLE LLC, Mountain View, CA (US)
Filed by Google LLC, Mountain View, CA (US)
Filed on Jul. 28, 2023, as Appl. No. 18/361,417.
Prior Publication US 2025/0036630 A1, Jan. 30, 2025
Int. Cl. G06F 16/2455 (2019.01); G06F 16/248 (2019.01)
CPC G06F 16/24564 (2019.01) [G06F 16/248 (2019.01)] 20 Claims
OG exemplary drawing
 
1. A computing system configured to generate a report estimating an online audience of a content item, the computing system comprising:
one or more processors; and
a server having a first dataset, the first dataset having a plurality of dimensions;
one or more computer-readable media that store computer-readable instructions that, when executed by the one or more processors, cause the computing system to perform operations, the operations comprising:
receiving, from a client device, a query request to estimate the online audience of the content item;
processing, using a first machine-learned model, the query request to generate a configuration file associated with the first dataset, the configuration file having a first dimension from the plurality of dimensions;
presenting, on a user interface of the client device, the configuration file;
processing, using the first machine-learned model, the configuration file to generate the report concurrently while presenting the configuration file on the user interface of the client device;
receiving a user input in response to the presentation of the configuration file;
retrieving data from the first dataset based on the configuration file and the user input; and
generating, using the first machine-learned model, the report based on the retrieved data from the first dataset.