IMPLICIT RATING OF ADVERTISEMENTS

• US 20100280876A1
• Filed: 04/30/2009
• Published: 11/04/2010
• Est. Priority Date: 04/30/2009
• Status: Abandoned Application

• Current Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Original Assignee: Microsoft Corporation
• Inventors: Bowra, Todd
• Application Number:
  US12/433,422
• Publication Number:
  US 20100280876A1
• Time in Patent Office: Days
• US Class Current: 705/10
• CPC Class Codes: G06Q 30/0242 Determining effectiveness of advertisements
• CPC Class Codes: G06Q 30/0245 Surveys
• CPC Class Codes: G06Q 30/0251 Targeted advertisements
• CPC Class Codes: G06Q 30/0273 Determination of fees for advertising
• CPC Class Codes: H04N 21/2547 Third Party Billing, e.g. billing of advertiser
• CPC Class Codes: H04N 21/25891 being end-user preferences retrieval of video data in a video database based on user preferences G06F16/739; arrangements for recognizing users' preferences H04H60/46; user profiles in network data switching protocols H04L67/306; processing of user preferences or user profiles in wireless networks H04W8/18
• CPC Class Codes: H04N 21/262 Content or additional data distribution scheduling, e.g. sending additional data at off-peak times, updating software modules, calculating the carousel transmission frequency, delaying a video stream transmission, generating play-lists scheduling strategies for dispatcher in multiprogramming arrangements G06F9/4881; arrangements for scheduling broadcast services or broadcast-related services H04H60/06; flow control in packet networks H04L47/10; establishing a time schedule or organising the servicing of application requests H04L67/62
• 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 21/6582 Data stored in the client, e.g. viewing habits, hardware capabilities, credit card number arrangements where receivers interact with the broadcast H04H20/38
• CPC Class Codes: H04N 21/812 involving advertisement data advertising per se G06Q30/02

Abstract

Methods for measuring resonance of an ad with a user. Ads are delivered to a user during a commercial break of a program being delivered by a content provider. Each ad is associated with a unique identifier and at least one tag describing an attribute of the ad. Input from the user is received during presentation of an ad indicating that the user would like to stop viewing the ad before the ad has ended. The user'"'"'s interest in the ad is determined based on the amount of time that the user viewed the ad before, and the instance of the user'"'"'s viewing behavior is stored in a user profile database.

Claims

1. A method for measuring resonance of an ad with a user, comprising:

delivering an ad to a user during a commercial break of a program being delivered by a content provider to the user, the ad being associated with a unique identifier;

receiving input from the user during presentation of the ad indicating that the user would like to stop viewing at least a portion of the ad before the ad has ended;

determining the user'"'"'s interest in the ad based on the amount of time that the user viewed the ad; and

creating a record of user viewing behavior, the record including the unique identifier and a user identifier;

storing the record in a user profile database.

2. The method as recited in claim 1, wherein the step of creating a record of user viewing behavior comprises the step of:

creating the record of user viewing behavior, the record including the unique identifier and a tag associated with the ad with at least one of the following user identifiers;

username, Internet Protocol address, email address, or Media Access Control address.

3. The method as recited in claim 2, wherein the step of creating a record of user viewing behavior further includes the step of:

creating a record of user viewing behavior that further includes the amount of time that the user viewed the ad.

4. The method as recited in claim 1, wherein the step of determining the user'"'"'s interest in the ad comprises the steps of:

determining a duration of the ad;

determining the amount of time the user viewed the ad;

accessing a view time table that correlates with the duration of the ad; and

determining a user interest indicator in the view time table that corresponds to the amount of time that the user viewed the ad.

5. The method as recited in claim 1, wherein the step of determining the user'"'"'s interest in the ad comprises the steps of:

determining a duration of the ad;

determining the amount of time the user viewed the ad;

calculating a percentage of the ad that was viewed by the user based on the amount of time the user viewed the ad and the duration of the ad; and

determining a user interest indicator in a view time table that corresponds to the calculated percentage.

6. The method as recited in claim 1, further including the steps of:

determining that an amount of time remains during the commercial break after presentation of the first ad;

delivering a second ad to the user.

7. The method as recited in claim 6, wherein the step of delivering a second ad to the user comprises the steps of:

selecting a second ad to deliver to the user;

determining whether the second ad has a duration that is less than the amount of time remaining during the commercial break;

delivering the second ad to the user if the second ad has a duration that is less than the amount of time remaining during the commercial break; and

returning the user to the program if the second ad has a duration that is more than the amount of time remaining during the commercial break.

8. The method as recited in claim 1, wherein the step of providing an ad to a user during a commercial break of a program being streamed by a content provider to the user comprises the steps of:

generating a unique identifier;

selecting a subject matter tag based on metadata associated with the ad; and

associating the unique identifier and subject matter tag with the ad before providing the ad to the user during the commercial break.

9. The method as recited in claim 1, further comprising the step of:

billing the advertiser for delivering the ad to a user based on the amount of time the user viewed the ad.

10. A method for measuring resonance of an ad with a user, comprising:

identifying an upcoming commercial break in a program being delivered by a content provider to a user;

selecting at least two ads from an advertising database, each ad associated with at least one subject matter tag describing an attribute of the ad;

delivering the at least two ads to the user viewing the program prior to the start of the commercial break, wherein the at least two ads are displayed for selection by the user;

receiving input from the user indicating that the user selected one of the at least two ads;

storing the user viewing behavior associated with the selected ad in a user profile database; and

delivering the selected ad to the user upon the start of the commercial break.

11. The method as recited in claim 10, wherein the step of storing the user viewing behavior comprises the steps of:

storing the at least one tag describing an attribute of the selected ad and a user identifier as a record in the user profile database.

12. The method as recited in claim 10, further comprising the steps of:

receiving input from the user during presentation of the selected ad indicating that the user would like to stop viewing the selected ad before the selected ad has ended;

determining the user'"'"'s interest in the selected ad based on the amount of time that the user viewed the selected ad;

creating a record of user viewing behavior; and

storing the record in the user profile database.

13. The method as recited in claim 12, wherein the step of creating a record of user viewing behavior comprises the step of:

creating a record of user viewing behavior, the record including at least one subject matter tag associated with the selected ad, a user identifier, and a user interest indicator.

14. The method as recited in claim 10, further comprising the steps of:

selecting a unique identifier associated with an ad;

aggregating the user viewing behavior stored in the user profile database based on the unique identifier associated with the ad; and

developing relationships of user viewing behavior associated with the unique identifier.

15. The method as recited in claim 14, further comprising the step of:

providing the developed relationships of user viewing behavior to an advertiser associated with the ad.

16. The method as recited in claim 15, further comprising the step of:

billing the advertiser based on the amount of time the user viewed the selected ad.

17. The method as recited in claim 10, further comprising the steps of:

aggregating the user viewing behavior by any of the following;

a user ID, ad ID, subject matter tags associated with the ad, or user interest indicator.

18. A system for measuring resonance of an ad with a user, comprising:

a content server configured to deliver content to a user, the content including a commercial break;

an ad server configured to deliver at least one ad to a user during the commercial break, receive feedback from the user during the presentation of each ad to skip viewing an ad before the ad has ended, determine the user'"'"'s interest in the ad based on the amount of time that the user viewed the ad; and

a user profile database configured to store each instance of the user viewing behavior.

19. The system as recited in claim 18, further comprising:

a user behavior engine configured to develop relationships between the instances of user viewing behavior stored in the user profile database.

20. The system as recited in claim 18, wherein the ad sever is further configured to bill the advertiser associated with the ad delivered by the content server based on the amount of time that the user viewed the ad.