Social watchlist

Abstract

In one embodiment, a method includes receiving information from a social network and identifying one or more topics of interest from the received information. The method also includes converting text from the received information to one or more social intents and determining, based on the topics of interest and the social intents, a media recommendation. The method further includes receiving account information from a user account, the account information including one or more entitlements. The method further includes determining that the media recommendation complies with the entitlements and automatically adding the media recommendation to a social watchlist associated with the user account.

What is claimed is: 
     
         1 . A method, comprising:
 receiving, by a processing system including a processor, social network information associated with a first social network user from a social network and including relationships between the first social network user and a plurality of social network users;   determining, by the processing system, from text derived from the social network information, a first social intent, wherein the first social intent categorizes an attitude associated with a first topic of interest;   assigning, by the processing system, a first weight for the first topic of interest;   assigning, by the processing system, a second weight for the first social intent;   determining, by the processing system, a first media recommendation associated with the first social network user according to the first weight for the first topic of interest, the second weight for the first social intent, and the relationships between the first social network user and the plurality of social network users;   determining, by the processing system, whether the first media recommendation complies with a plurality of entitlements associated with the first social network user; and   automatically adding, by the processing system, the first media recommendation to a social watchlist associated with the first social network user responsive to the determining the first media recommendation complies with the plurality of entitlements, wherein the first media recommendation is placed into the social watchlist according to a third weight of the first media recommendation, and wherein the third weight of the first media recommendation is based on the first weight for the first topic of interest and the second weight for the first social intent.   
     
     
         2 . The method of  claim 1 , further comprising identifying, by the processing system, the first topic of interest from the social network information. 
     
     
         3 . The method of  claim 1 , further comprising receiving, by the processing system, account information from an account associated with the first social network user, wherein the account information comprises the plurality of entitlements. 
     
     
         4 . The method of  claim 1 , wherein the social network information is derived according to a social crawler engine. 
     
     
         5 . The method of  claim 1 , wherein the social network information received from the social network comprises social aggregate content, social personalization content, or a combination thereof 
     
     
         6 . The method of  claim 1 , wherein the first topic of interest comprises a trending topic of a media entity, the social intent is a user sentiment, and the entitlements comprise user subscriptions. 
     
     
         7 . The method of  claim 1 , further comprising:
 determining, by the processing system, that a second media recommendation currently in the social watchlist no longer complies with the plurality of entitlements; and   removing, by the processing system, the second media recommendation from the social watchlist responsive to the determining that the second media recommendation no longer complies with the plurality of entitlements.   
     
     
         8 . The method of  claim 1 , further comprising receiving, by the processor, one or more queries from a device linked to the account, wherein the one or more queries are related to one or more media entities and the first media recommendation is further determined based on the one or more queries. 
     
     
         9 . The method of  claim 1 , wherein the assigning the first weight for the first topic of interest is based on a strength of a relationship between the topic of interest and the first social network user. 
     
     
         10 . The method of  claim 1 , wherein the assigning the second weight for the first social intent is based on a calculated predicted level of interest of the first social network user in the topic of interest. 
     
     
         11 . A non-transitory machine-readable medium, comprising executable instructions that, when executed by a processing system including a processor, facilitate performance of operations, the operations comprising:
 receiving social network information associated with a first social network user from a social network and including relationships between the first social network user and a plurality of social network users;   determining a first social intent from the social network information, wherein the first social intent categorizes an attitude associated with a first topic of interest;   assigning a first weight for the first topic of interest;   assigning a second weight for the first social intent;   determining a first media recommendation associated with the first social network user according to the first weight for the first topic of interest, the second weight for the first social intent, and the relationships between the first social network user and the plurality of social network users;   determining whether the first media recommendation complies with a plurality of entitlements associated with the first social network user; and   automatically adding the first media recommendation to a social watchlist associated with the first social network user responsive to the determining the first media recommendation complies with the plurality of entitlements, wherein the first media recommendation is placed into the social watchlist according to a weight of the first media recommendation, and wherein the weight of the first media recommendation is based on the first weight for the first topic of interest and the second weight for the first social intent.   
     
     
         12 . The non-transitory machine-readable medium of  claim 11 , wherein the determining the first social intent is according to text derived from the social network information. 
     
     
         13 . The non-transitory machine-readable medium of  claim 11 , wherein the operations further comprise identifying the first topic of interest from the social network information. 
     
     
         14 . The non-transitory machine-readable medium of  claim 11 , wherein the operations further comprise receiving account information from an account associated with the first social network user, wherein the account information comprises the plurality of entitlements. 
     
     
         15 . The non-transitory machine-readable medium of  claim 11 , wherein the social network information is derived according to a social crawler engine. 
     
     
         16 . The non-transitory machine-readable medium of  claim 11 , wherein the social network information received from the social network comprises social aggregate content, social personalization content, or a combination thereof 
     
     
         17 . The non-transitory machine-readable medium of  claim 11 , wherein the first topic of interest comprises a trending topic of a media entity, the social intent is a user sentiment, and the entitlements comprise user subscriptions. 
     
     
         18 . A system comprising a processing system including a processor and a memory coupled to the processing system comprising instructions executable by the processing system to perform operations comprising:
 receiving social network information associated with a first social network user from a social network and including relationships between the first social network user and a plurality of social network users;   determining a first social intent from the social network information, wherein the first social intent categorizes an attitude associated with a first topic of interest;   assigning a first weight for the first topic of interest;   assigning a second weight for the first social intent;   determining a first media recommendation associated with the first social network user according to the first weight for the first topic of interest, the second weight for the first social intent, and the relationships between the first social network user and the plurality of social network users; and   automatically adding the first media recommendation to a social watchlist associated with the first social network user responsive to a determining the first media recommendation complies with a plurality of entitlements associated with the first social network user, wherein the first media recommendation is placed into the social watchlist according to a weight of the first media recommendation, and wherein the weight of the first media recommendation is based on the first weight for the first topic of interest and the second weight for the first social intent.   
     
     
         19 . The system of  claim 18 , wherein the operations further comprise determining whether the first media recommendation complies with a plurality of entitlements associated with the first social network user. 
     
     
         20 . The system of  claim 18 , wherein the determining the first social intent is according to text derived from the social network information, and wherein the operations further comprise identifying the first topic of interest from the social network information.