US 12,216,619 B2
Automated generation of game tags
Eric Holmdahl, San Francisco, CA (US); Nikolaus Sonntag, Foster City, CA (US); and Aswath Manoharan, Sunnyvale, CA (US)
Assigned to Roblox Corporation, San Mateo, CA (US)
Filed by Roblox Corporation, San Mateo, CA (US)
Filed on Oct. 3, 2023, as Appl. No. 18/376,021.
Application 18/376,021 is a continuation of application No. 16/885,047, filed on May 27, 2020, granted, now 11,789,905.
Prior Publication US 2024/0028562 A1, Jan. 25, 2024
Int. Cl. G06F 16/16 (2019.01); G06N 3/08 (2023.01)
CPC G06F 16/164 (2019.01) [G06N 3/08 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A computer-implemented method to validate one or more text tags for a game, the method comprising:
providing, as input to a plurality of machine learning models, data that includes a game identifier of the game and a set of digital assets of different classes associated with the game;
generating, based on the set of digital assets and by respective models of the plurality of machine learning models, a respective feature vector of a plurality of feature vectors;
generating, based on the plurality of feature vectors, a plurality of predicted text tags for the game, each predicted text tag associated with a respective prediction score;
selecting one or more text tags from the plurality of predicted text tags based on the respective prediction score;
obtaining a developer provided text tag for the game;
validating the developer provided text tag for the game by comparing the developer provided text tag with the one or more selected text tags;
determining that the developer provided text tag is irrelevant based on the comparison; and
removing the developer provided text tag from association with the game.