Methods and apparatus to identify co-relationships between media using social media

• US 10,187,675 B2
• Filed: 10/12/2015
• Issued: 01/22/2019
• Est. Priority Date: 10/12/2015
• Status: Active Grant

• Current Assignee: The Nielsen Company LLC (MOOD Media Corporation)
• Original Assignee: The Nielsen Company LLC (MOOD Media Corporation)
• Inventors: Sheppard, Michael, Reid, Matthew B., Terrazas, Alejandro, Sullivan, Jonathan, Lipa, Peter
• Primary Examiner(s): Jeanty, Romain
• Application Number:
  US14/880,594
• Publication Number:
  US 20170105031A1
• Time in Patent Office: 1,198 Days
• Field of Search: 705 729
• CPC Class Codes: G06F 16/24578 using ranking
• CPC Class Codes: G06F 16/285 Clustering or classification
• CPC Class Codes: H04L 43/062 related to network traffic
• CPC Class Codes: H04L 43/16 Threshold monitoring
• CPC Class Codes: H04L 65/611 for multicast or broadcast systems for broadcast or conference H04L12/18; arrangements for broadcast or distribution combined with broadcast H04H20/00; arrangements for broadcast applications with a direct linkage to broadcast information or to broadcast space-time H04H60/00; selective distribution of broadcast services, e.g. multimedia broadcast multicast service [MBMS], H04W4/06
• CPC Class Codes: H04L 67/30 Profiles
• CPC Class Codes: H04N 21/251 Learning process for intelligent management, e.g. learning user preferences for recommending movies details of learning user preferences for the retrieval of video data in a video database G06F16/739; computer systems using learning methods G06N3/08
• CPC Class Codes: H04N 21/44213 Monitoring of end-user related data arrangements for monitoring the users' behaviour or opinions in broadcast systems H04H60/33
• CPC Class Codes: H04N 21/4532 involving end-user characteristics, e.g. viewer profile, preferences monitoring of user activities for profile generation for accessing a video database G06F16/739; 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 21/4788 communicating with other users, e.g. chatting arrangements for providing for computer conferences, e.g. chat rooms, to substation in data switching networks H04L12/1813; distributed application using peer-to-peer [P2P] networks H04L67/104

Abstract

Methods, apparatus, systems and articles of manufacture are disclosed to identify co-relationships between media using social media. An example method includes obtaining media-exposure social media messages based on keywords and posting timestamps, and identifying a media-pairing including first media and second media. The example method also includes estimating a first audience of the first media based on a first set of media-exposure social media messages referencing the first media, and estimating a second audience of the second media based on a second set of media-exposure social media messages referencing the second media. The example method also includes determining a pairing-score for the media-pairing based on the first and second audiences and the first and second sets of media-exposure social media messages, attributing a relationship threshold to the media-pairing based on the first media and the second media, and classifying the media-pairing based on the pairing-score and the relationship threshold.

Claims

1. A method comprising:

obtaining, by executing an instruction with a processor, media-exposure social media messages corresponding to client devices by querying a social media server based on media keywords and media posting timestamps;

identifying, by executing an instruction with the processor, a media-pairing including first media and second media;

estimating, by executing an instruction with the processor, a first audience of the first media based on a first set of media-exposure social media messages corresponding to the client devices referencing the first media;

estimating, by executing an instruction with the processor, a second audience of the second media based on a second set of media-exposure social media messages corresponding to the client devices referencing the second media;

determining, by executing an instruction with the processor, a pairing-score for the media-pairing based on the first and second audiences and the first and second sets of media-exposure social media messages;

attributing, by executing an instruction with the processor, a relationship threshold to the media-pairing based on the first media and the second media;

classifying, by executing an instruction with the processor, the media-pairing based on the pairing-score and the relationship threshold; and

generating, by executing an instruction with the processor, a report indicating a level of effectiveness of broadcasting third media during presentation of the first media and during presentation of the second media based on the media-pairing classification.

2. The method as defined in claim 1, wherein the estimating of the first audience includes:

associating each of the media-exposure social media messages included in the first set with an author username; and

recording a first occurrence of each of the identified author usernames.

3. The method as defined in claim 1, wherein the estimating of the first audience includes:

identifying an impression associated with each of the media-exposure social media messages included in the first set;

identifying a user identifier associated with the impression; and

recording a first occurrence of each of the identified impression user identifiers.

4. The method as defined in claim 1, wherein the estimating of the first audience includes:

identifying a first subset of usernames associated with posting the first set of media-exposure social media messages to the social media server;

identifying a second subset of usernames associated with impressions of the media-exposure social media messages included in the first set, wherein each of the usernames included in the second subset of usernames is not present in the first subset of usernames.

5. The method as defined in claim 1, wherein the determining of the pairing-score for the media-pairing includes:

identifying a subset of audience members included in the first audience and the second audience; and

determining a size of the subset of audience members and a first count of media-exposure social media messages included in the first set.

6. The method as defined in claim 1, wherein the classifying of the media-pairing includes:

applying the relationship threshold to the pairing-score; and

classifying the first media related to the second media when the pairing-score satisfies the relationship threshold.

7. The method as defined in claim 6, wherein the first count is less than a second count of media-exposure social media messages included in the second set.

8. The method as defined in claim 1, wherein a size of the first audience and a size of the second audience satisfies a size threshold.

9. An apparatus comprising:

a message logger to;

obtain media-exposure social media messages corresponding to client devices by querying a social media server based on media keywords and media posting timestamps;

identify a media-pairing including first media and second media;

an audience estimator to;

estimate a first audience of the first media based on a first set of media-exposure social media messages corresponding to the client devices referencing the first media; and

estimate a second audience of the second media based on a second set of media-exposure social media messages corresponding to the client devices referencing the second media; and

a pairing classifier to;

determine a pairing-score for the media-pairing based on the first and second audiences and the first and second sets of media-exposure social media messages;

determine a relationship threshold to apply to the media-pairing based on the first media and the second media; and

classify the media-pairing based on the pairing-score and the relationship threshold.

10. The apparatus as defined in claim 9, wherein the audience estimator is to estimate the first audience by:

associating each of the media-exposure social media messages included in the first set with an author username; and

recording a first occurrence of each of the identified author usernames.

11. The apparatus as defined in claim 9, wherein the audience estimator is to estimate the first audience by:

identifying an impression associated with each of the media-exposure social media messages included in the first set;

identifying a user identifier associated with the impression; and

recording a first occurrence of each of the identified impression user identifiers.

12. The apparatus as defined in claim 9, wherein the audience estimator is to estimate the first audience by:

identifying a first subset of usernames associated with posting the first set of media-exposure social media messages to the social media server;

identifying a second subset of usernames associated with impressions of the media-exposure social media messages included in the first set, each of the usernames included in the second subset of usernames not present in the first subset of usernames.

13. The apparatus as defined in claim 9, wherein the pairing classifier is to determine the pairing-score for the media-pairing by:

identifying a subset of audience members included in the first audience and the second audience; and

determining a size of the subset of audience members and a first count of media-exposure social media messages included in the first set.

14. The apparatus as defined in claim 9, wherein the pairing classifier is to classify the media-pairing by:

applying the relationship threshold to the pairing-score; and

classifying the first media related to the second media when the pairing-score satisfies the relationship threshold.

15. The apparatus as defined in claim 9, further including a reporter to generate a report indicative of a level of effectiveness of broadcasting third media during presentation of the first media and during presentation of the second media based on the media-pairing classification.

16. A tangible computer readable storage medium comprising instructions that, when executed, cause a machine to at least:

obtain media-exposure social media messages corresponding to client devices by querying a social media server based on media keywords and media posting timestamps;

identify a media-pairing including first media and second media;

estimate a first audience of the first media based on a first set of media-exposure social media messages corresponding to the client devices that reference the first media;

estimate a second audience of the second media based on a second set of media-exposure social media messages corresponding to the client devices that reference the second media;

determine a pairing-score for the media-pairing based on the first and second audiences and the first and second sets of media-exposure social media messages;

determine a relationship threshold to apply to the media-pairing, the relationship threshold based on the first media and the second media;

classify the media-pairing based on the pairing-score and the relationship threshold; and

generate a report indicative of a level of effectiveness of broadcasting third media during presentation of the first media and during presentation of the second media based on the media-pairing classification.

17. The tangible computer readable storage medium as defined in claim 16, wherein the instructions are to further cause the machine to:

associate each of the media-exposure social media messages included in the first set with an author username; and

estimating the first audience by recording a first occurrence of each of the identified author usernames.

18. The tangible computer readable storage medium as defined in claim 16, wherein the instructions are to further cause the machine to:

identify an impression associated with each of the media-exposure social media messages included in the first set;

identify a user identifier associated with the impression; and

estimate the first audience by recording a first occurrence of each of the identified impression user identifiers.

19. The tangible computer readable storage medium as defined in claim 16, wherein the instructions are to further cause the machine to:

identify a first subset of usernames associated with posting the first set of media-exposure social media messages to the social media server; and

estimate the first audience by identifying a second subset of usernames associated with impressions of the media-exposure social media messages included in the first set, each of the usernames included in the second subset of usernames not present in the first subset of usernames.

20. The tangible computer readable storage medium as defined in claim 16, wherein the instructions are to further cause the machine to:

identify a subset of audience members included in the first audience and the second audience; and

determine the pairing-score for the media-pairing by determining a size of the subset of audience members and a first count of media-exposure social media messages included in the first set.