US 12,436,956 B2
Automated enhancement of metadata in media program database using embedded vectors
Melvin Perinchery, Bengaluru (IN); and Shanmugam Ramaswamy, Bengaluru (IN)
Assigned to DISH Network Technologies India Private Limited, (IN)
Filed by DISH Network Technologies India Private Limited, Karnataka (IN)
Filed on Feb. 22, 2024, as Appl. No. 18/584,649.
Claims priority of application No. 202341080764 (IN), filed on Nov. 28, 2023.
Prior Publication US 2025/0173343 A1, May 29, 2025
Int. Cl. G06F 16/2457 (2019.01); G06F 16/22 (2019.01); G06F 16/2452 (2019.01); G06F 16/732 (2019.01); G06F 16/783 (2019.01)
CPC G06F 16/24573 (2019.01) [G06F 16/2237 (2019.01); G06F 16/24522 (2019.01); G06F 16/7343 (2019.01); G06F 16/783 (2019.01)] 15 Claims
OG exemplary drawing
 
1. An automated process performed by a computer system to automatically update information in a database of media program information that is stored on a non-transitory digital storage, the automated process comprising:
identifying, by querying the database of media programs by a first processor of the computer system, one or more missing data fields in metadata about a particular media program that is stored in the database;
automatically formatting, by the first processor of the computer system, a query related to the one or more missing data fields to obtain additional information about the media program from an artificial intelligence (AI) engine executing on a second processor of the computer system, wherein the AI engine comprises embedded vectors representing data previously obtained about the particular media program;
forwarding the query from the first processor to the second processor;
in response to the query, the second processor identifying additional information corresponding to the one or more missing data fields based upon the embedded vectors, wherein the identifying comprises the second processor converting the query from a natural language format to one or more query vectors and comparing the query vectors to the embedded vectors by the second processor to identify one or more embedded vectors that are most relevant to the query vectors;
providing, by the AI engine, the data previously obtained about the particular media program to the first processor in response to the query;
updating, by the first processor, the missing data fields in the metadata stored in the database about the particular media program with the additional information data received from the AI engine; and
subsequently providing the updated metadata about the particular media program from the database for publication in an electronic program guide.