Data collection and analysis for internet protocol television subscriber activity

• US 20070074258A1
• Filed: 09/20/2005
• Published: 03/29/2007
• Est. Priority Date: 09/20/2005
• Status: Abandoned Application

• Current Assignee: AT&T Knowledge Ventures, L.P. (AT&T, Inc.)
• Original Assignee: Sbc Knowledge Ventures, L.P.
• Inventors: Wood, Catherine, Reynolds, Anthony, Malee, Daniel
• Application Number:
  US11/230,590
• Publication Number:
  US 20070074258A1
• Time in Patent Office: Days
• US Class Current: 725/105
• CPC Class Codes: H04N 21/2407 Monitoring of transmitted content, e.g. distribution time, number of downloads arrangements for monitoring programmes for broadcast or for distribution combined with broadcast H04H20/14
• CPC Class Codes: H04N 21/252 Processing of multiple end-users' preferences to derive collaborative data
• CPC Class Codes: H04N 21/438 Interfacing the downstream path of the transmission network originating from a server, e.g. retrieving encoded video stream packets from an IP network
• CPC Class Codes: H04N 21/44224 Monitoring of user activity on external systems, e.g. Internet browsing
• CPC Class Codes: H04N 21/6125 involving transmission via Internet transmission by internet of broadcast information H04H60/82
• CPC Class Codes: H04N 21/812 involving advertisement data advertising per se G06Q30/02
• CPC Class Codes: H04N 7/17318 Direct or substantially direct transmission and handling of requests

Abstract

A method and apparatus are provided that interact with an IPTV product deployed in a communication network. The method and apparatus of the present invention collects subscriber activity data, such as channel changes generated by the subscriber while watching video or TV in an IPTV system. The system and method of the present invention collects, parses and processes this consumer activity data. The method and apparatus of the present invention collects and aggregates the IPTV consumer activity data from multiple IPTV consumer activity data collection systems. The aggregated data, collected over a national or global basis can then be used to generate metrics. The metrics are then analyzed by business rules to generate marketing data reports that can be used as an strategic analysis tool for communication network operators, content providers and advertisers to determine consumer usage of the IPTV systems and viewing of programming and advertising.

Claims

1. A method for processing subscriber activity data from a plurality of internet protocol television (IPTV) systems comprising:

recording subscriber activity data in real time;

transmitting the recorded subscriber activity data to one of the plurality of IPTV systems;

aggregating the recorded subscriber activity data from the one of the plurality of IPTV systems;

parsing the aggregated subscriber activity data into subscriber activity event data events;

and

storing the aggregated subscriber activity data events in a data base.

2. The method of claim 1, further comprising:

collecting the recorded subscriber activity data in a load-ready data format from the one of the plurality of IPTV systems.

3. The method of claim 1, wherein the events comprise at least one member selected from a set consisting of:

channel tune, set top box power up/down, video on demand purchase, trick mode, digital video recorder (DVR) record and DVR delete.

4. The method of claim 1, further comprising:

performing a metric on at least one of the events.

5. The method of claim 4, wherein the metric comprises at least one member selected from a set consisting of viewing usage, simultaneous DVR recording and watching usage, channel changes, recorded channels and show, VOD replay, preview generated purchased events, remote desktop protocol applications per sitting, VOD DVR recordings, scheduled DVR recordings, channel viewing time and average RDP time.

6. The method of claim 4, further comprising:

applying a business rule to at least one of the metrics.

7. The method of claim 6, wherein the business rule further comprises correlating subscriber activity related to viewing of content and advertising with at least one member selected from a set consisting of demographic sector, time slot and geographic region.

8. A computer readable medium containing instructions that when executed by a computer method for processing subscriber activity data from a plurality of internet protocol television (IPTV) system comprising:

recording subscriber activity data in real time;

transmitting the recorded subscriber activity data to one of the plurality of IPTV systems;

aggregating the recorded subscriber activity data from the one of the plurality of IPTV systems;

parsing the aggregated subscriber activity data into subscriber activity event data events;

and

storing the aggregated subscriber activity data events in a data base.

9. The medium of claim 8, wherein the method further comprises:

collecting the recorded subscriber activity data in a load-ready data format from the one of the plurality of IPTV systems.

10. The medium of claim 8, wherein in the method the events comprise at least one member selected from a set consisting of channel tune, set top box power up/down, video on demand purchase, trick mode, digital video recorder (DVR) record and DVR delete.

11. The medium of claim 8, wherein the method further comprises:

performing a metric on at least one of the events.

12. The medium of claim 11, wherein in the method the metric comprises at least one selected from a set consisting of viewing usage, simultaneous DVR recording and watching usage, channel changes, recorded channels and show, VOD replay, preview generated purchased events, remote desktop protocol applications per sitting, VOD DVR recordings, scheduled DVR recordings, channel viewing time and average RDP time.

13. The medium of claim 11, further comprising:

applying a business rule to at least one of the metrics.

14. The medium of claim 13, wherein in the method the business rule further comprises correlating subscriber'"'"'s activity indicating viewing of content and advertising with at least one member selected from a set consisting of demographic sector, time slot and geographic region.

15. A system for processing subscriber activity data from a plurality of internet protocol television (IPTV) systems comprising:

a set top box (STB) in communication with a subscriber remote control for interacting with the IPTV system;

a recorder associated with the set top box;

an STB processor associated with the STB configured to record subscriber activity data from the remote control in real time and transmit the recorded subscriber activity data to one of the plurality of IPTV systems; and

a central processor configured to aggregate the recorded subscriber activity data from the one of the plurality of IPTV systems, parse the aggregated subscriber activity data into subscriber activity data events and store the parsed subscriber activity data events in a data base.

16. The system of claim 15, wherein the central processor is further configured to collect the subscriber activity data in a load-ready data format.

17. The system of claim 15, wherein the events comprise at least one member selected from a set consisting of channel tune, set top box power up/down, video on demand purchase, trick mode, digital video recorder (DVR) record and DVR delete.

18. The system of claim 15, wherein the central processor is further configured to perform a metric on at least one of the events.

19. The system of claim 18, wherein the metric comprises at least one member selected from a set consisting of viewing usage, simultaneous DVR recording and watching usage, channel changes, recorded channels and show, VOD replay, preview generated purchased events, remote desktop protocol applications per sitting, VOD DVR recordings, scheduled DVR recordings, channel viewing time and average RDP time.

20. The system of claim 18, further comprising:

a business rule in memory wherein the central processor is further configured to apply the business rule to at least one of the metrics.

21. The system of claim 20, wherein the business rule further comprises correlating subscriber activity related to viewing of content and advertising with at least one member selected from asset consisting of demographic sector, time slot and geographic region.