Patent ID: 8930989
Filing Date: 2015-01-06
Classification: G06Q,H04N

Abstract:
1. A method of performing supervised learning to associate one or more consumer profiles within a video audience with one or more video decoders within a network, comprising the steps of: obtaining consumer profile data for a subset of consumer households, wherein the consumer profile data for each consumer household includes information associating one or more consumers in the consumer household to one or more video decoders in the consumer household based on which consumers in the consumer household use each of the one or more video decoders; receiving zapping events recorded from at least one video decoder, within said network, also referred to as zapping patterns, wherein said zapping events are for a given time period; receiving data from questionnaires providing an association of at least one consumer profile of said one or more consumer profiles to one or more video decoders for which said zapping events were recorded, wherein said received data serves as profile data; using statistical analysis on said received profile data that provides an association of at least one consumer profile of said one or more consumer profiles to one or more video decoders for which said zapping events were recorded to infer a relation between one or more of the zapping patterns and at least one of the consumer profiles of said one or more consumer profiles that is associated with one of the video decoders; and determining, based on the inferred relation, said received data and said received zapping events, a set of consumer profiles associated with one or more of the video decoders for which no consumer profile data was obtained; and determining a probability that each consumer profile in said set of consumer profiles has been using said one or more of the video decoders for which no profile data was received from questionnaires during a time period represented in said zapping events recorded.