Patent ID: 8645292
Filing Date: 2014-02-04
Classification: G06F,G06K,G06N,G06Q

Abstract:
1. A computer-implemented method, comprising: contributing a plurality of behaviors to an affinity vector generation function executed on a processor-based computing device, wherein the affinity vector generation function generates a first affinity vector based, at least in part, on an inference from the plurality of behaviors; receiving a recommendation from a computer-implemented recommendation function, wherein the recommendation function generates the recommendation based, at least in part, on an identification of contrasting corresponding affinity values between the first affinity vector and a second affinity vector, wherein the second affinity vector is associated with a user other than the recipient of the recommendation; and tuning the recommendation function in accordance with a recommendation recipient's setting of a computer-implemented tuning control, wherein the setting influences the application of the contrasting corresponding affinity values in generating the recommendation.