US 11,853,328 B2
Adaptive multi-model item selection systems and methods
Jesse Anderton, Princeton Junction, NJ (US); Maryam Aziz, Princeton Junction, NJ (US); David Bourgin, Brooklyn, NY (US); and Benjamin Austin Carterette, Wilmington, DE (US)
Assigned to Spotify AB, Stockholm (SE)
Filed by Spotify AB, Stockholm (SE)
Filed on Dec. 16, 2021, as Appl. No. 17/552,874.
Prior Publication US 2023/0195753 A1, Jun. 22, 2023
Int. Cl. G06F 16/00 (2019.01); G06F 16/28 (2019.01); G06N 3/08 (2023.01)
CPC G06F 16/285 (2019.01) [G06N 3/08 (2013.01)] 21 Claims
OG exemplary drawing
 
1. An adaptive multi-model item selection method, comprising:
receiving, from a client device of a plurality of client devices, a request including a client-side feature vector representing a state of the client device;
determining, by an advocate model, a probability distribution of a plurality of specialist cluster models from the client-side feature vector;
choosing, by a use case selector, a cluster corresponding to a use case from the probability distribution; and
obtaining, by the use case selector based on the cluster, a specialist cluster model from the plurality of specialist cluster models.