System for trend discovery and curation from content metadata and context

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.

What is claimed is: 
     
         1 . A method comprising:
 identifying, by a processing system including a processor, a first media consumption pattern associated with a user;   categorizing, by the processing system, the user as part of a first cohort based on the first media consumption pattern, wherein the categorizing of the user is based at least in part on correlating the first media consumption pattern with an aggregated media consumption pattern of the first cohort;   monitoring, by the processing system, consumption by the user of new media content not previously consumed by the user;   updating, by the processing system, the first media consumption pattern based on interactions between the user and members of the first cohort and the consumption by the user of the new media content to generate a second media consumption pattern;   re-categorizing, by the processing system, the user as part of a second cohort based on the second media consumption pattern;   searching, by the processing system, for content relating to a media consumption trend determined for the second cohort, wherein the content comprises media content items previously offered by a content provider; and   selectively providing, by the processing system based at least in part on the media content items. a group of advertisements to members of the second cohort determined to not have consumed the media content items.   
     
     
         2 . The method of  claim 1 , wherein the user and members of the first cohort are subscribers to a communication network. 
     
     
         3 . The method of  claim 1 , wherein the correlating is based on matching metadata associated with the user and the first media consumption pattern with the aggregated media consumption pattern. 
     
     
         4 . The method of  claim 1 , further comprising providing, by the processing system, a first group of advertisements to the first cohort. 
     
     
         5 . The method of  claim 1 , wherein the media content items are offered by the content provider prior to the re-categorizing. 
     
     
         6 . The method of  claim 1 , wherein the re-categorizing the user as part of the second cohort further comprises:
 capturing, by the processing system, interactions between the user and other members of the second cohort regarding the consumption of the new media content, wherein the interactions comprise social media interactions between the user and the other members of the second cohort;   analyzing, by the processing system, the interactions to extract metadata associated with the user, resulting in extracted metadata; and   updating, by the processing system, the second media consumption pattern of the user to obtain an updated media consumption; and   updating, by the processing system, the metadata associated with the user with the extracted metadata to obtain updated metadata.   
     
     
         7 . The method of  claim 1 , wherein the user is a network subscriber of a communication network, and further comprising:
 determining, by the processing system for each member of the second cohort, a consumer context associated with the new media content, the consumer context comprising information regarding a network subscriber environment, information regarding a network subscriber activity while consuming the new media content, or a combination thereof; and   aggregating, by the processing system, media consumption patterns for each of the members of the second cohort to obtain an aggregated media consumption pattern.   
     
     
         8 . The method of  claim 7 , wherein the consumer context comprises a location of the network subscriber. 
     
     
         9 . The method of  claim 7 , wherein the consumer context comprises a type of device used by the network subscriber to consume the new media content. 
     
     
         10 . The method of  claim 7 , wherein the determining the consumer context, generating the second media consumption pattern, and the aggregating are performed using network edge analysis. 
     
     
         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:   identifying a first media consumption pattern associated with a user of a communication network;   categorizing the user as part of a first cohort based on the first media consumption pattern, wherein the categorizing of the user is based at least in part on correlating the first media consumption pattern with an aggregated media consumption pattern of the first cohort;   monitoring consumption by the user of new media content not previously consumed by the user;   updating the first media consumption pattern based on interactions between the user and members of the first cohort and the consumption by the user of the new media content to generate a second media consumption pattern;   re-categorizing the user as part of a second cohort based on the second media consumption pattern;   searching for content relating to a media consumption trend determined for the second cohort, wherein the content comprises media content items previously offered by a content provider; and   selectively providing based at least in part on the media content items. a group of advertisements to members of the second cohort determined to not have consumed the media content items.   
     
     
         12 . The device of  claim 11 , wherein the re-categorizing the user as part of the second cohort further comprises:
 capturing, by the processing system, interactions between the user and other members of the second cohort regarding the consumption of the new media content, wherein the interactions comprise social media interactions between the user and the other members of the second cohort;   analyzing, by the processing system, the interactions to extract metadata associated with the user, resulting in extracted metadata; and   updating, by the processing system, the second media consumption pattern of the user to obtain an updated media consumption; and   updating, by the processing system, the metadata associated with the user with the extracted metadata to obtain updated metadata.   
     
     
         13 . The device of  claim 11 , wherein the user is a network subscriber of a communication network, and wherein the operations further comprise:
 determining, for each member of the second cohort, a consumer context associated with the new media content, the consumer context comprising information regarding a network subscriber environment, information regarding a network subscriber activity while consuming the new media content, or a combination thereof; and   aggregating media consumption patterns for each of the members of the second cohort to obtain an aggregated media consumption pattern.   
     
     
         14 . The device of  claim 13 , wherein the consumer context comprises a location of the network subscriber. 
     
     
         15 . The device of  claim 13 , wherein the consumer context comprises a type of device used by the network subscriber to consume the new media content. 
     
     
         16 . The device of  claim 13 , wherein the determining the consumer context, generating the second media consumption pattern, and the aggregating are performed using network edge analysis. 
     
     
         17 . A non-transitory machine-readable medium comprising executable instructions that, when executed by a processing system including a processor, cause the processor to perform operations, the operations comprising:
 identifying a first media consumption pattern associated with a user of a device to consume media content;   categorizing the user as part of a first cohort based on the first media consumption pattern, wherein the categorizing of the user is based at least in part on correlating the first media consumption pattern with an aggregated media consumption pattern of the first cohort;   monitoring consumption by the user of new media content not previously consumed by the user;   updating the first media consumption pattern based on interactions between the user and members of the first cohort and the consumption by the user of the new media content to generate a second media consumption pattern;   re-categorizing the user as part of a second cohort based on the second media consumption pattern;   searching for content relating to a media consumption trend determined for the second cohort, wherein the content comprises media content items previously offered by a content provider; and   selectively providing based at least in part on the media content items. a group of advertisements to members of the second cohort determined to not have consumed the media content items.   
     
     
         18 . The non-transitory machine-readable medium of  claim 17 , wherein the user is a network subscriber of a communication network, and wherein the operations further comprise:
 determining, for each member of the second cohort, a consumer context associated with the new media content, the consumer context comprising information regarding a network subscriber environment, information regarding a network subscriber activity while consuming the new media content, or a combination thereof; and   aggregating media consumption patterns for each of the members of the second cohort to obtain an aggregated media consumption pattern.   
     
     
         19 . The non-transitory machine-readable medium of  claim 18 , wherein the consumer context comprises a location of the network subscriber and a type of the device used by the network subscriber. 
     
     
         20 . The non-transitory machine-readable medium of  claim 18 , wherein the determining the consumer context, generating the second media consumption pattern, and the aggregating are performed using network edge analysis.