US2019273793A1PendingUtilityA1

Method and system to identify data and content delivery on a cellular network using a social network

Assignee: IBMPriority: Apr 28, 2016Filed: May 21, 2019Published: Sep 5, 2019
Est. expiryApr 28, 2036(~9.7 yrs left)· nominal 20-yr term from priority
G06Q 10/40H04L 43/0876G06Q 10/107G06Q 30/0271G06Q 30/02G06Q 30/0267G06Q 30/0254G06Q 50/01H04L 51/32H04L 67/26H04L 51/52H04L 67/55G06Q 10/42
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Claims

Abstract

An approach is defined to establish consumption analytics of network nodes of a social network. Content is tagged and the content consumption analytics are derived from the content consumption. The content analytics and related heuristic is applied to new content shared in the social network. The content is compared to policies for content push operations and cellular network constraints to determine whether the content is proactively pushed to a mobile device.

Claims

exact text as granted — not AI-modified
What is claimed is: 
     
         1 . A computer program product for delivering content to a mobile device over a network using a social network, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions readable by a processor to cause the processor to perform a method comprising:
 identifying content posted within the social network;   performing an analysis to determine a likelihood of the content being selected based on aggregated consolidated data within the social network corresponding to a social network application on the mobile device, the aggregated consolidated data comprising an association of actions of a user with respect to the social network with relationships of the user with other members of the social network;   comparing the likelihood of the content being selected to a policy stored in a policy database associated with the social network, the policy for identifying possible content to be prefetched; and   determining, based on available network resources, whether the network is allowed to deliver the content.   
     
     
         2 . The computer program product of  claim 1 , further comprising:
 pulling, upon determining that the network is allowed to deliver the content, the content for delivery to the mobile device.   
     
     
         3 . The computer program product of  claim 1 , further comprising:
 determining, based on available resources on the mobile device, whether the network is allowed to deliver the content; and   pulling, upon determining that the mobile device has the available resources, the content for delivery to the mobile device.   
     
     
         4 . The computer program product of  claim 1 , further comprising:
 tagging the content based on characteristics of the content to produce tagged content; and   applying heuristics to the tagged content to share with the social network and the network.   
     
     
         5 . The computer program product of  claim 1 , wherein the network is a cellular network configured to pull the content when there is a lull point in usage of the cellular network. 
     
     
         6 . The computer program product of  claim 1 , wherein the program instructions for comparing the likelihood of the content being selected includes comparing the likelihood to a threshold the content must meet provided by the policy. 
     
     
         7 . The computer program product of  claim 4 , further comprising:
 pulling the tagged content based on the characteristics of the content.   
     
     
         8 . A computer method for delivering content to a mobile device over a network using a social network, the computer method comprising:
 identifying content posted within the social network;   performing an analysis to determine a likelihood of the content being selected based on aggregated consolidated data within the social network corresponding to a social network application on the mobile device, the aggregated consolidated data comprising an association of actions of a user with respect to the social network with relationships of the user with other members of the social network;   comparing the likelihood of the content being selected to a policy stored in a policy database associated with the social network, the policy for identifying possible content to be prefetched; and   determining, based on available network resources, whether the network is allowed to deliver the content.   
     
     
         9 . The method of  claim 8 , further comprising:
 pulling, upon determining that the network is allowed to deliver the content, the content for delivery to the mobile device.   
     
     
         10 . The method of  claim 8 , further comprising:
 determining, based on available resources on the mobile device, whether the network is allowed to deliver the content; and   pulling, upon determining that the mobile device has the available resources, the content for delivery to the mobile device.   
     
     
         11 . The method of  claim 8 , further comprising:
 tagging the content based on characteristics of the content to produce tagged content; and   applying heuristics to the tagged content to share with the social network and the network.   
     
     
         12 . The method of  claim 8 , wherein the network is a cellular network configured to pull the content when there is a lull point in usage of the cellular network. 
     
     
         13 . The method of  claim 8 , wherein comparing the likelihood of the content being selected includes comparing the likelihood to a threshold the content must meet provided by the policy. 
     
     
         14 . The method of  claim 11 , further comprising:
 pulling the tagged content based on the characteristics of the content.   
     
     
         15 . A system, comprising:
 an action database configured to store actions and activities of members on a social network;   a relationship database configured to store relationship data between the members on the social network;   a processing module configured to associate the actions and activities of the members with the relationship data of the members to produce aggregated consolidated data, and also to generate personalized content for the members based on the aggregated consolidated data;   a storage database configured to store the personalized content generated by the processing module;   a publisher configured to publish the personalized content to the members; and   a policy database configured to store a policy based on the personalized content of at least one of the members.   
     
     
         16 . The system of  claim 15 , wherein the processing module comprises:
 an association component configured to associate a first member of the members with the relationship data relating to the first member to produce consolidated data;   an identification component configured to identify an element associated with the consolidated data;   an aggregation component configured to aggregate the consolidated to produce the aggregated consolidated data based on the element identified by the identification component; and   an affinity component configured to weigh the aggregated consolidated data by an affinity based on the relationship data, the activities, and the actions of the member to produce the personalized content.   
     
     
         17 . The system of  claim 16 , wherein the publisher is further configured publish the personalized content based on the policy relating to the member. 
     
     
         18 . The system of  claim 16 , wherein the affinity component is further configured to assign an order of the personalized content presented to the member. 
     
     
         19 . The system of  claim 16 , wherein the policy is defined by the member. 
     
     
         20 . The system of  claim 15 , wherein the policy defines a threshold the personalized content must meet.

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