System for trend discovery and curation from content metadata and context

Patent metadata

Field	Value
Publication number	US-10979528-B2
Application number	US-201816222323-A
Country	US
Kind code	B2
Filing date	Dec 17, 2018
Priority date	Dec 17, 2018
Publication date	Apr 13, 2021
Grant date	Apr 13, 2021

Abstract

Aspects of the subject disclosure may include, for example, a method that includes obtaining metadata from media content and consumed by network subscribers; determining for each network subscriber a consumer context associated with the media content; and determining a media consumption pattern for each network subscriber based on the metadata and the consumer context, thereby generating a plurality of media consumption patterns. The method further includes aggregating the media consumption patterns; determining, based on the aggregated media consumption patterns, a media consumption trend for the network subscribers; and correlating the media consumption trend with a profile including a current activity for a network subscriber of the plurality of network subscribers, thereby generating a recommendation for the network subscriber regarding new media content not previously consumed by the network subscriber. The method also includes communicating the recommendation to the network subscriber. Other embodiments are disclosed.

First claim

What is claimed is:

1. A method, comprising:
obtaining, by a processing system including a processor, metadata from media content consumed by a plurality of network subscribers, wherein the media content is distributed over a network;
determining, by the processing system, for each network subscriber of the plurality of network subscribers, a consumer context associated with the media content, the consumer context comprising information regarding a network subscriber environment, and/or a network subscriber activity while consuming the media content;
determining, by the processing system, a media consumption pattern for each network subscriber of the plurality of network subscribers based on the metadata and the consumer context, thereby generating a plurality of media consumption patterns;
aggregating, by the processing system, the plurality of media consumption patterns for the plurality of network subscribers resulting in an aggregated media consumption pattern;
determining, by the processing system, based on the aggregated media consumption pattern, a media consumption trend for the plurality of network subscribers;
identifying, by the processing system, a first cohort of network subscribers for a first network subscriber, wherein a first group of advertisements are provided to the first network subscriber based on the first cohort, wherein the identifying of the first cohort is based on matching metadata associated with the first network subscriber and media consumption of the first network subscriber with the aggregated media consumption pattern of the first cohort;
correlating, by the processing system, the media consumption trend with a profile including a current activity for the first network subscriber to identify new media content included in the media consumption trend that is not included in the profile, thereby generating a recommendation for the first network subscriber regarding the new media content not previously consumed by the first network subscriber;
communicating, by the processing system, the recommendation to the first network subscriber;
monitoring, by the processing system, consumption by the first network subscriber of the new media content;
capturing, by the processing system, interactions between the first network subscriber and other network subscribers of the plurality of network subscribers regarding the consumption of the new media content, wherein the interactions comprise social media interactions between the first network subscriber and the other network subscribers of the plurality of network subscribers;
analyzing, by the processing system, the interactions to extract additional metadata of the first network subscriber;
updating, by the processing system, the media consumption of the first network subscriber with the consumption of the new media content and the metadata of the first network subscriber with the additional metadata;
dynamically changing, by the processing system, the first network subscriber to a second cohort of network subscribers, wherein the second cohort is identified based on matching the updated metadata and the updated media consumption with an aggregated media consumption pattern of the second cohort; and
providing, by the processing system, a second group of advertisements to the first network subscriber based on the second cohort.

2. The method of claim 1 , further comprising:
identifying, by the processing system, an item of advertising content associated with the media consumption trend; and
facilitating, by the processing system, target advertising for the item to the first network subscriber and the other network subscribers.

3. The method of claim 1 , wherein the other network subscribers of the plurality of network subscribers receive respectively a plurality of recommendations regarding additional content, the plurality of network subscribers and the other network subscribers thereby forming a third cohort of network subscribers engaged with the media consumption trend.

4. The method of claim 1 , wherein the determining the consumer context, the determining the media consumption pattern, and the aggregating are performed using network edge analysis.

5. The method of claim 4 , wherein the network edge analysis is performed by a network edge probe anonymously capturing the activity of the first network subscriber.

6. The method of claim 1 , wherein the consumer context comprises a location of the first network subscriber.

7. The method of claim 1 , wherein the consumer context comprises a type of device used by the first network subscriber to consume the media content.

8. The method of claim 1 , wherein the new media content is identified in accordance with the media consumption trend.

9. The method of claim 1 , wherein the media content is provided by a content provider system, and further comprising searching, by the processing system in accordance with the media consumption trend, a library of media content maintained by the content provider system.

10. The method of claim 1 , wherein the recommendation is generated in real time or near-real time with respect to the first network subscriber consuming the media content.

11. A device comprising:
a processing system including a processor; and
a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations, the operations comprising:
obtaining metadata from media content consumed by a plurality of network subscribers, wherein the media content is distributed over a network;
determining, for each network subscriber of the plurality of network subscribers, a consumer context associated with the media content, the consumer context comprising information regarding a network subscriber environment and/or a network subscriber activity while consuming the media content;
determining a media consumption pattern for each network subscriber of the plurality of network subscribers based on the metadata and the consumer context, thereby generating a plurality of media consumption patterns;
aggregating the plurality of media consumption patterns for the plurality of network subscribers resulting in an aggregated media consumption pattern;
determining, based on the aggregated media consumption pattern, a media consumption trend for the plurality of network subscribers;
identifying a first cohort of network subscribers for a first network subscriber, wherein a first group of advertisements are provided to the first network subscriber based on the first cohort, wherein the identifying of the first cohort is based on matching metadata associated with the first network subscriber and media consumption of the first network subscriber with the aggregated media consumption patter of the first cohort;
correlating the media consumption trend with a profile including a current activity for the first network subscriber to identify new media content included in the media consumption trend that is not included in the profile, thereby generating a recommendation for the first network subscriber regarding the new media content not previously consumed by the first network subscriber, wherein the recommendation is generated in real time or near-real time with respect to the first network subscriber consuming the media content;
communicating the recommendation to the first network subscriber;
monitoring consumption by the first network subscriber of the new media content;
capturing interactions between the first network subscriber and other network subscribers of the plurality of network subscribers regarding the consumption of the new media content, wherein the interactions comprise social media interactions between the fir

Assignees

• At & T Ip I Lp

Inventors

• Skudlark Ann E
• Zavesky Eric
• Tran Lien
• Gibbon David Crawford
• Liu Zhu

Classifications

• H04L67/535

  Tracking the activity of the user (network monitoring arrangements H04L43/00; recording of computer activity G06F11/34) · CPC title

• H04N21/44226

  on social networks · CPC title

• H04H60/52

  of users · CPC title

• H04L67/10

  in which an application is distributed across nodes in the network (software deployment G06F8/60; multiprogramming arrangements G06F9/46) · CPC title

• H04N21/251

  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 title