Patent Document ID: 20110099059
Application ID: 12606400
Patent Flag: 0

Claim One:
1. A method comprising: using one or more computers, obtaining a matrix of information, the matrix of information comprising output information 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 predicted click through rate information relating to predicted click through rates associated with each of a plurality of advertising instances, each of the plurality of advertising instances comprising an advertisement and a serving opportunity; using one or more computers, modeling the matrix of information using a latent variable model, comprising 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 each of one or more advertising instances, each of the one or more advertising instances comprising an advertisement and a serving opportunity.