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AssigneeDirect Cursus Technology L.L.C
InventorsVsevolod SVETLOV, Kirill KHRYLCHENKO
Estimating the term…
A method and system for training a machine-learning algorithm (MLA), including first and second machine-learning (ML) models to rank digital documents at a digital platform. The method comprises: receiving first historical data of past searches conducted by the given user over a given past period; receiving second historical data, a given portion of the second historical data including data of past searches conducted by the given user over a given past user session; jointly training both the first and second ML models to rank the in-use digital documents, the training comprising: training, based on the first historical data, the first ML model to generate a vector representation of the first historical data; and training, based on the vector representation of the first historical data and the second historical data, the second ML model to determine a respective likelihood value of the given user interacting with a given in-use digital document.
A computer-implementable method of training a machine-learning algorithm (MLA) to rank in-use digital documents at a digital platform, the MLA comprising a first ML model and a second ML model, the method being executable by a processor, the method comprising:
A server for training a machine-learning algorithm (MLA) to rank in-use digital documents at a digital platform, the MLA comprising a first ML model and a second ML model, the server comprising a non-transitory computer-readable memory storing instructions;
Dependencies are inferred from the claim text.