| 摘要 |
A subscriber identification system is presented in which subscriber selection data including channel changes, volume changes, and time-of-day viewing information is used to identify a subscriber from a group of subscribers. In one instance, the subscriber viewing data is recorded and a signal processing algorithm such as a Fourier transform is used to produce a processed version of the subscriber selection data. The processed version of the subscriber selection data can be correlated with stored common identifiers of subscriber profiles to determine which subscriber from the group is presently viewing the programming. A neural network or fuzzy logic can be used as the mechanism for identifying the subscriber from clusters of information which are associated with individual subscribers.
|
