Subscriber Characterization System with Filters

Abstract

A subscriber characterization system with filters in which the subscriber's selections are monitored, including monitoring of the time duration programming is watched, the volume at which the programming is listened to, and any available information regarding the type of programming, including category and sub-category of the programming. The raw subscriber selection data is then processed to eliminate data associated with irrelevant activities such as channel surfing, channel jumping, or extended periods of inactivity. The actual subscriber selection data is used to form program characteristics vectors. The programming characteristics vectors can be used in combination with the actual subscriber selection data to form a subscriber profile. Heuristic rules indicating the relationships between programming choices and demographics can be applied to generate additional probabilistic subscriber profiles regarding demographics and programming and product interests.

Description

CROSS REFERENCE TO RELATED APPLICATION [0001] This application is a continuation of U.S. patent application Ser. No. 09 / 516,983, filed Mar. 1, 2000, and entitled Subscriber Characterization System with Filters, which is a continuation-in-part of U.S. patent application Ser. No. 09 / 204,888, filed Dec. 3, 1998, now U.S. Pat. No. 7,150,030, the entire disclosures of which are incorporated herein by reference.BACKGROUND OF THE INVENTION [0002] Subscribers face an increasingly large number of choices for entertainment programming, which is delivered over networks such as cable TV systems, over-the-air broadcast systems, and switched digital access systems which use telephone company twisted wire pairs for the delivery of signals. [0003] Cable television service providers have typically provided one-way broadcast services but now offer high-speed data services and can combine traditional analog broadcasts with digital broadcasts and access to Internet web sites. Telephone companies can of...

AI Technical Summary

Problems solved by technology

While advertisements are sometimes beneficial to subscribers and deliver desired information regarding specific products or services, consumers generally view advertising as a “necessary evil” for broadcast-type entertainment.

Systems which identify subscriber preferences based on their purchases and responses to questionnaires allow for the targeted marketing of literature in the mail, but do not in any sense allow for the rapid and precise delivery of programming and advertising which is known to have a high probability of acceptance to the subscriber.

Specific information regarding a subscriber's viewing habits or the Internet web sites they have accessed can be stored for analysis, but such records are considered private and subscribers are not generally willing to have such information leave their control.

Although there are regulatory models which permit the collection of such data on a “notice and consent” basis, there is a general tendency towards legal rules which prohibit such raw data to be collected.

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