SYSTEM AND METHOD FOR PROVIDING UNSUPERVISED LEARNING TO ASSOCIATE PROFILES IN VIDEO AUDIENCES
First Claim
1. A method of performing unsupervised learning to associate viewer profiles in video audiences of a network, comprising the steps of:
- receiving a zapping log and a broadcast schedule, wherein the zapping log includes records of set top box zapping signatures for at least a portion of the set top boxes of the network;
deriving set top box signatures from the zapping log and broadcast schedule;
clustering viewer profiles into groups of viewer profiles using the set top box signatures; and
associating at least one set top box within the network with at least one viewer profile,wherein the method of performing unsupervised learning does not use data associating demographic or psychographic profiles to the at least a portion of the set top boxes of the network for which the zapping log contains records of set top box zapping signatures.
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Abstract
A system and method for providing unsupervised learning to associate profiles in video audiences is provided. The method includes: receiving a zapping log and a broadcast schedule, wherein the zapping log includes records of set top box zapping signatures for at least a portion of the set top boxes of the network; deriving set top box signatures from the zapping log and broadcast schedule; clustering viewer profiles into groups of viewer profiles using the set top box signatures; and associating at least one set top box within the network with at least one viewer profile, wherein the method of performing unsupervised learning does not use data associating demographic or psychographic profiles to the at least a portion of the set top boxes of the network for which the zapping log contains records of set top box zapping signatures.
43 Citations
31 Claims
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1. A method of performing unsupervised learning to associate viewer profiles in video audiences of a network, comprising the steps of:
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receiving a zapping log and a broadcast schedule, wherein the zapping log includes records of set top box zapping signatures for at least a portion of the set top boxes of the network; deriving set top box signatures from the zapping log and broadcast schedule; clustering viewer profiles into groups of viewer profiles using the set top box signatures; and associating at least one set top box within the network with at least one viewer profile, wherein the method of performing unsupervised learning does not use data associating demographic or psychographic profiles to the at least a portion of the set top boxes of the network for which the zapping log contains records of set top box zapping signatures. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16)
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17. A system for providing unsupervised learning to associate consumer profiles in video audiences, wherein the system comprises a head end having a computer and means for communicating therein, wherein the computer has a management application stored therein, and wherein the management application further comprises:
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logic configured to receive a zapping log and a broadcast schedule, wherein the zapping log includes records of set top box zapping signatures for at least a portion of the set top boxes of the network; logic configured to derive set top box signatures from the zapping log and broadcast schedule; logic configured to cluster viewer profiles into groups of viewer profiles using the set top box signatures; and logic configured to associate at least one set top box within the network with at least one viewer profile, wherein performing unsupervised learning does not use data associating demographic or psychographic profiles to the at least a portion of the set top boxes of the network for which the zapping log contains records of set top box zapping signatures. - View Dependent Claims (18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31)
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Specification