Television Audience Targeting Online

• US 20080300894A1
• Filed: 06/01/2007
• Published: 12/04/2008
• Est. Priority Date: 06/01/2007
• Status: Abandoned Application

• Current Assignee: Oath Inc. (Verizon Communications Inc.)
• Original Assignee: Oath Inc. (Verizon Communications Inc.)
• Inventors: John, George H.
• Application Number:
  US11/757,288
• Publication Number:
  US 20080300894A1
• Time in Patent Office: Days
• US Class Current: 705/1
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: H04N 21/44224 Monitoring of user activity on external systems, e.g. Internet browsing
• CPC Class Codes: H04N 21/458 Scheduling content for creating a personalised stream, e.g. by combining a locally stored advertisement with an incoming stream; Updating operations, e.g. for OS modules ; time-related management operations arrangements for replacing or switching information during the broadcast or during the distribution H04H20/10
• CPC Class Codes: H04N 21/4661 Deriving a combined profile for a plurality of end-users of the same client, e.g. for family members within a home user profiles in network data switching protocols H04L67/306
• CPC Class Codes: H04N 21/4667 Processing of monitored end-user data, e.g. trend analysis based on the log file of viewer selections
• CPC Class Codes: H04N 21/6125 involving transmission via Internet transmission by internet of broadcast information H04H60/82
• CPC Class Codes: H04N 21/6175 involving transmission via Internet broadcast-related systems characterised by the transmission system being the Internet 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 of targeting users receives a data feed that has information relating to a first media and extracts events from the received data feed. The method generates a profile relating to a first item in the first media, and processes behavior of a first group of users of a second media. The method models the behavior of the first group of users, and generates a scoring function by using the modeling. A system for targeting a user includes a data feed, an event extractor, one or more profiles, a behavior processor, and a model. The data feed has information relating to a first media. The event extractor is for receiving the data feed and extracting particular information based on a second media. The profile(s) are based on the extracted information. The behavior processor is for receiving the profile and comparing the profile to a first group of users of the second media. The model space is for receiving an output of the behavior processor and modeling user behavior by using the profile.

Claims

1. A method of targeting users, the method comprising:

receiving a data feed having information relating to a first media;

extracting events from the received data feed;

generating a profile relating to a first item in the first media;

processing behavior of a first group of users of a second media;

modeling the behavior of the first group of users, the modeling including;

generating a scoring function by using the modeling.

2. The method of claim 1, the data feed comprising information relating to a television broadcast, the method further comprising:

selecting the television broadcast; and

extracting events relating to the selected television broadcast.

3. The method of claim 1, the second media comprising an online media, wherein generating the profile comprises compiling a list of relevant online activities.

4. The method of claim 1, the step of processing behavior further comprising:

tracking for the first group of users activities relating to the second media; and

compiling the tracking by using a unique identifier.

5. The method of claim 1, the modeling comprising a batch process.

6. The method of claim 1, the scoring function for measuring an interest of a user of the second media for an item within the first media, the method further comprising:

scoring a second group of users of the second media by using the scoring function.

7. The method of claim 6, the scoring further comprising a real time process.

8. The method of claim 6, further comprising selecting a user based on the scoring, wherein the selected user has a likelihood of interest in the first item in the first media.

9. The method of claim 8, further comprising targeting the selected user by using a cobranded creative.

10. The method of claim 1, further comprising:

selecting content within the second media for presentation to a selected user within the second media, the content relevant to the first item in the first media; and

providing selections that comprise data based on one or more of behaviorally targeted users, geographic data, and temporal data associated with one or more users.

11. A system for targeting a user, the system comprising:

a data feed having information relating to a first media;

an event extractor for receiving the data feed and extracting particular information based on a second media;

a profile based on the extracted information;

a behavior processor configured for;

receiving the profile,

tracking behavior for a first group of users of the second media, and

comparing the profile to the tracked behavior; and

a model space for receiving an output of the behavior processor, and for modeling the user behavior.

12. The system of claim 11 further comprising a scoring function based on the modeling, the scoring function for measuring an interest of a user of the second media for an item within the first media.

13. The system of claim 11, further comprising a look alike model.

14. The system of claim 11 further comprising a crawler for compiling information relating to the second media.

15. The system of claim 13, wherein the second media comprises an online media, the crawler comprising a network type information gathering spider.

16. The system of claim 11 further comprising an administration tool for interfacing with at least one of:

the data feed, one or more crawlers, and the event extractor, the administration tool for providing maintenance functionality comprising one of configuration, customization, and tuning.

17. The system of claim 11, wherein the first media comprises television programming, wherein the extracted information relates to a particular item of television programming.

18. The system of claim 11, wherein the second media comprises online media, wherein the user behavior comprises one or more online activities.

19. A method of targeting, the method comprising:

selecting a first item in a first media, the first item comprising associated data and an audience;

generating a profile comprising a relevance to one or more of the first item, the audience, and a second media;

tracking behaviors of users of the second media;

tagging a first user of the second media, based on a relationship between the first user'"'"'s tracked behavior and the profile; and

comparing the tagged first user to one or more additional users.

20. The method of claim 19, further comprising constructing a model by using the tracked behavior;

and generating a scoring function that measures similarities with the tagged first user.

24. The method of claim 19, wherein the first user and the second user are members of the audience, wherein a behavior of the second user is different than a behavior of the first user.

25. The method of claim 19, the user behavior comprising one or more of, in relation to the first item, searching, posting, and blogging.

26. The method of claim 19, wherein the first media comprises television, the first item comprises a television program, and the audience comprises viewers of the television program,

wherein the second media comprises the Internet, wherein generating the profile comprises using a relevance to one or more of the television program, the viewers of the program, and the Internet, wherein tracking behaviors of users of the Internet comprises tagging a first user of the Internet, based on a relationship between the first user'"'"'s tracked behavior and the profile.

27. The method of claim 26, wherein the relationship comprises visiting a particular website, wherein the relationship further comprises specific content in the form of one or more of a contest, an episode synopsis, and a discussion regarding the television program, such that specific behaviors regarding the program are included by the tagging.

21. (canceled)

22. The method of claim 21, further comprising scoring a second user, and associating the score with the second user;

and selectively targeting the second user within the second media based on the associated score.

23. (canceled)

28. (canceled)