Patent Document ID: 8380570
Application ID: 12606400
Patent Flag: 1

Claim One:
1. A method comprising: using one or more computers, obtaining a matrix of information, the matrix of information comprising output information generated from a machine learning model; wherein input information to the machine learning model comprises advertisement information, serving opportunity information, and historical click through rate information; and wherein the output information comprises historical predicted click through rate information relating to predicted click through rates associated with each of a plurality of historical advertising instances, each of the plurality of historical advertising instances comprising an advertisement and an associated serving opportunity; using one or more computers, modeling the matrix of information using a latent variable model, by approximately factorizing the matrix of information into two submatrices, the two submatrices being associated with each other by one or more latent variables; and using one or more computers, using the latent variable model, determining a set of information, the set of information comprising predicted click through rate information for a current advertising instance, the current advertising instance comprising an advertisement and an associated serving opportunity.