CPC G06F 16/285 (2019.01) [G06N 3/08 (2013.01)] | 21 Claims |
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.
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