SUBSCRIBER CHARACTERIZATION SYSTEM WITH FILTERS

Patent №

US 7,240,355

Granted

2007-07-03

Filed 2000

Owner

EXPANSE NETWORKS, INC.

Lab

AI components

3

ml · kr · planning

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

09516983

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.

Machine learningKnowledge representationPlanningH04N 21/4663H04N 21/2353H04N 21/252H04N 21/44008H04N 21/4415H04N 21/44204H04N 21/44209H04N 21/44218+8 more

AI classification

Knowledge representation1.00
Planning1.00
Machine learning0.98
Speech0.47
AI hardware0.25
Natural language0.02
Vision0.00
Evolutionary computation0.00

Ownership

EXPANSE NETWORKS, INC.

assignment · 110590284

Assignors

ELDERING, CHARLES A., SYLLA, M. LAMINE, BLASKO, JOHN P.

On an employer assignment, the assignors are typically the inventors.

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