Method and apparatus for managing advertisements using social media data

• US 9,549,225 B2
• Filed: 10/09/2014
• Issued: 01/17/2017
• Est. Priority Date: 11/29/2012
• Status: Active Grant

• Current Assignee: AT&T Intellectual Property I LP (AT&T, Inc.)
• Original Assignee: AT&T Intellectual Property I LP (AT&T, Inc.)
• Inventors: Feng, Junlan, Renger, Bernard S.
• Primary Examiner(s): Kumar, Pankaj
• Assistant Examiner(s): Hicks, Charles N
• Application Number:
  US14/510,839
• Publication Number:
  US 20150026721A1
• Time in Patent Office: 831 Days
• Field of Search: 725/35
• US Class Current: 1/1
• CPC Class Codes: G06Q 30/0255 based on user history
• CPC Class Codes: G06Q 30/0257 User requested
• CPC Class Codes: G06Q 30/0269 based on user profile or attribute
• CPC Class Codes: G06Q 50/01 Social networking
• CPC Class Codes: H04L 51/52 for supporting social networking services
• CPC Class Codes: H04L 67/10 in which an application is distributed across nodes in the network software deployment G06F8/60; multiprogramming arrangements G06F9/46
• CPC Class Codes: H04L 67/306 User profiles
• CPC Class Codes: H04L 67/535 Tracking the activity of the user network monitoring arrangements H04L43/00; recording of computer activity G06F11/34
• CPC Class Codes: H04N 21/25435 involving characteristics of content or additional data, e.g. video resolution or the amount of advertising
• CPC Class Codes: H04N 21/25883 being end-user demographical data, e.g. age, family status or address arrangements for identifying locations of users in broadcast systems H04H60/52
• CPC Class Codes: H04N 21/2668 Creating a channel for a dedicated end-user group, e.g. insertion of targeted commercials based on end-user profiles information retrieval from the Internet by querying with filtering and personalisation G06F16/9535; arrangements for replacing or switching information during the broadcast H04H20/10; push services over packet-switching network H04L12/1859; adaptation of message content in packet-switching networks H04L51/063
• 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
• CPC Class Codes: H04N 21/812 involving advertisement data advertising per se G06Q30/02

Abstract

A system that incorporates teachings of the subject disclosure may include, for example, obtaining social media data associated with a plurality of end user devices of a plurality of users interacting with a social media network where the social media data includes user commentary at the social media network, determining first targeted advertising for delivery to first end user devices of a portion of the plurality of users based on an analysis of the social media data, and determining second targeted advertising for delivery during a target broadcast programming to a second end user device of a target user of the plurality of users based on an analysis of the user commentary, wherein the analysis includes identifying a comment context. Other embodiments are disclosed.

Claims

1. A method comprising:

identifying, by a processing system comprising a processor, a first group of users of a plurality of users of a social media network based on social media posts associated with media content that are posted by the first group of users;

identifying, by the processing system, a second group of users of the plurality of users of the social media network, wherein the second group of users have consumed the media content;

identifying, by the processing system, a third group of users of the plurality of users of the social media network, wherein the third group of users have indicated during user interaction with the social media network an interest in commercial items;

determining, by the processing system, a first subset of the first group of users that are part of the third group of users and a second subset of the second group of users that are part of the third group of users;

generating, by the processing system, a user model that correlates a characteristic associated with the first subset of the first group of users and the second subset of the second group of users;

identifying, by the processing system, a target consumer of the third group according to the user model based on a first social media post by the target consumer via a first device utilized by the target consumer and a first media consumption by the target consumer via a second device utilized by the target consumer;

predicting, by the processing system, a target media program that the target consumer is likely to view according to the user model;

for the target consumer of the target media program, selecting, by the processing system, a target commercial from a set of commercials based on the user model

accessing, by the processing system and from a first device used by the target consumer, instructions that pair the first device to a second device used by the target consumer; and

transmitting, by the processing system, the target commercial to the second device according to the instructions.

2. The method of claim 1, wherein the user model is based on one of individual level information, wherein the individual level information comprises social media login information, for individual users of the plurality of users of the social media network.

3. The method of claim 2, wherein a portion of the individual level information is obtained based on opt-in user authorizations and information access policies of the social media network.

4. The method of claim 1, wherein the target commercial is determined based on group level information, wherein the group level information comprises aggregated social media login information for the plurality of users of the social media network, and wherein a portion of the group level information is obtained without an opt-in user authorization.

5. The method of claim 1, wherein the target commercial is determined based on an analysis of text posts, image posts, video posts, audio posts, social connections among users and user locations.

6. The method of claim 1, wherein the user model is based on individual level information, and wherein the individual level information comprises user profile information associated with individual users of the plurality of users of the social media network.

7. The method of claim 1, wherein the user model is based on individual level information, and wherein the individual level information comprises web click data indicating internet browsing and purchasing history associated with individual users of the plurality of users of the social media network.

8. The method of claim 1, wherein the user model is based on individual level information, and wherein the individual level information comprise location information for individual users of the plurality of users of the social media network.

9. The method of claim 1, wherein the target commercial is determined based on group level information, wherein the group level information comprises aggregated television usage information for the plurality of users of the social media network, and wherein a portion of the group level information is obtained without an opt-in user authorization.

10. The method of claim 1, wherein the target commercial is determined based on group level information, wherein the group level information comprises aggregated purchase history data for different products in different geographic areas for the plurality of users of the social media network, and wherein a portion of the group level information is obtained without an opt-in user authorization.

11. The method of claim 1, wherein the target commercial is determined based on group level information, wherein the group level information comprises aggregated location information for the plurality of users of the social media network, and wherein a portion of the group level information is obtained without an opt-in user authorization.

12. A device, comprising:

a memory to store executable instructions; and

a processing system including a processor communicatively coupled to the memory, wherein the executable instructions, responsive to being executed by the processor, facilitate performance of operations comprising;

identifying a first group of users of a plurality of users of a social media network based on social media posts associated with media content that are posted by the first group of users;

identifying a second group of users of the plurality of users of the social media network, wherein the second group of users have consumed the media content;

identifying a third group of users of the plurality of users of the social media network, wherein the third group of users have indicated interest in commercial items during user interaction with the social media network;

generating a user model that correlates a characteristic associated with a first portion of the first group of users, who are also members of the third group of users, and a second portion of the second group of users, who are also members of the third group of users;

identifying a target consumer of the third group of according to the user model based on a first social media post by the target consumer via a first device utilized by the target consumer and a first media consumption by the target consumer via a second device utilized by the target consumer;

predicting a target media program that the target consumer is likely to view according to the user model;

for the target consumer of the target media program, selecting a target commercial from a set of commercials based on the user model;

accessing, from a first device used by the target consumer, instructions that pair the first device to a second device used by the target consumer; and

transmitting the target commercial to the second device according to the instructions.

13. The device of claim 12, wherein the user model is based on one of individual level information, wherein the individual level information comprises social media login information, user profile information, web click data indicating internet browsing and purchasing history, demographics, location information for individual users of the plurality of users of the social media network, or any combination thereof.

14. The device of claim 12, wherein the target commercial is determined based on group level information, wherein the group level information comprises aggregated social media login information for aggregated view of the plurality of users of the social media network, aggregated television usage for user groupings, purchase history data for different products in different geographic areas, aggregated demographics and aggregated location information, and wherein a portion of the group level information is obtained without an opt-in user authorization.

15. A machine-readable storage device comprising executable instructions which, responsive to being executed by a processing system including a processor, facilitate performance of operations comprising:

generating a user model that correlates a characteristic associated with first members of a first group of users of a social media network, who are also members of a third group of users of the social media network, and second members of a second group of users of the social media network, who are also members of a third group of users of the social media network, wherein social media posts associated with media content are posted by the first group of users, wherein the second group of users have consumed the media content, and wherein the third group of users have indicated interest in commercial items during user interaction with the social media network;

identifying a target consumer of the third group of according to the user model based on a first social media post by the target consumer via a first device utilized by the target consumer and a first media consumption by the target consumer via a second device utilized by the target consumer;

predicting a target media program that the target consumer is likely to view according to the user model;

for the target consumer of the target media program, selecting a target commercial from a set of commercials based on the user model;

accessing, from a first device used by the target consumer, instructions that pair the first device to a second device used by the target consumer; and

transmitting the target commercial to the second device according to the instructions.

16. The machine-readable storage device of claim 15, wherein the user model is based on one of individual level information, wherein the individual level information comprises social media login information, user profile information, web click data indicating internet browsing and purchasing history, demographics, location information for individual users of a plurality of users of the social media network, or any combination thereof.

17. The machine-readable storage device of claim 15, wherein the target commercial is determined based on group level information, wherein the group level information comprises aggregated social media login information for aggregated view of a plurality of users of the social media network, aggregated television usage for user groupings, purchase history data for different products in different geographic areas, aggregated demographics and aggregated location information, and wherein a portion of the group level information is obtained without an opt-in user authorization.