Patent ID: 11900110
Assignee: PROSPER FUNDING LLC
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 16:
17. A method comprising:
training a subsequent tag model to generate a subsequent tag vector from a previous tag;
training a plurality of contextual bandit models, comprising a contextual bandit model, to each generate selection vectors from context vectors;
generating the subsequent tag vector, fora content slot, from the previous tag, for a previous content slot, using the subsequent tag model;
generating a context vector from a set of subsequent tag vectors, which include the subsequent tag vector, using a context vector generator;
generating a selection vector from the context vector using the contextual bandit model; and
generating a content set for the content slot using the selection vector and a content template, wherein generating the content set comprises:
selecting the content template using a random number and a plurality of values from the selection vector, wherein the plurality of values is a plurality of probabilities used to select the content template from a plurality of content templates mapped to the plurality of probabilities.