Decentralized multi-channel discovery system through a plurality of data structures

Abstract

Described herein are technologies related to an implementation of a decentralized discovery system that utilizes a plurality of fuse-nodes to facilitate delivery of content specific data to a user. The plurality of fuse-nodes is a proprietary owned database (or modules) that include relationship links to another fuse-node (s), and/or a particular channel, media, and contents, which further include social network-friends and social network activities of the social network-friend, etc.

What is claimed is: 
     
       1. A method implemented on one or more computing devices to populate a database comprising:
 initially configuring a plurality of fuse-nodes by a customizer that receives input variables and arranges one or more of categories, rankings, updates as to collected data from fuse-nodes, wherein a fuse-node includes relationship links to particular channels, media, and content, and denote different arrays of relevance to a user, wherein the initially configuring includes: marking each of the plurality of fuse-nodes with a corresponding identifier; 
 setting at least one user-selected input variable, or content source, for a proprietary social recommendation algorithm to receive from and filter data for each of the plurality of fuse-nodes, wherein the algorithm is directed to a discovery process that is a request to show content from a collection of sources that are organized by fuse node fuse-node; 
 ranking the collected data; 
 configuring a privacy setting of the plurality of fuse nodes fuse-nodes, wherein the privacy setting includes a different permission model for each of the plurality of fuse-nodes; and 
 forming a user-selected trust filter; 
 storing the collected data based upon the initial configuration of the plurality of fuse-nodes; 
 receiving an access-request to a plurality of fuse-nodes; 
 determining an access-authorization of the received access-request based on a configured privacy-setting privacy setting of the plurality of fuse-nodes, wherein the access-request is received from a social networking site, and determining access level authorization of a requesting user; 
 selecting collected data of the plurality of fuse-nodes based on the determined access-authorization; and 
 supplying and encrypting the selected collected data to the requesting user. 
 
     
     
       2. The method of  claim 1 , wherein each data structure fuse-node in the plurality of fuse-nodes is a proprietary owned database, wherein the fuse-nodes include links to other fuse-nodes, channels, media, and contents, which further include social network-friends and social network activities of the social network-friends. 
     
     
       3. The method of  claim 1 , wherein the algorithm uses the user-selected social trust filter that limits recommended data from a social networking site, which is selected from a group of social media sources. 
     
     
       4. The method of  claim 1 , wherein the ranking of the collected data includes an assignment of a corresponding weight value to a sub-node, a channel, or a content of each of the plurality of fuse-nodes. 
     
     
       5. The method of  claim 1 , wherein the algorithm dynamically updates ranking of the collected data based on a user-selected time period. 
     
     
       6. The method of  claim 1 , wherein the algorithm dynamically updating of updates the collected data based on a fulfilment of a condition. 
     
     
       7. A computing device comprising:
 one or more processors; and 
 memory accessed by the one or more processors, the memory further comprises: 
 a fuse-node register configured to facilitate initial configuration of a plurality of fuse-nodes, wherein the initial configuration is by a customizer that receives input variables and arranges one or more of categories, rankings, updates as to collected data from fuse-nodes wherein a fuse-node includes relationship links to particular channels, media, and content, and denote different arrays of relevance to a user, wherein the computing device receives an access request to the plurality of fuse-nodes, wherein access request is received from a social networking site, determination is made as to the received access-request based on a configured privacy-setting privacy setting that includes a different permission model for each of the plurality of fuse-nodes and access level authorization of the user; selection is made as to collected data of the plurality of fuse-nodes based on the determined access-authorization, and supplying and encrypting the collected data to the user; and 
 supplying the selected collected data to a requesting user; 
 wherein the plurality of fuse-nodes is are created by a local dataset that stores collected data based upon the initial configuration of the plurality of fuse-nodes; and 
 a fuse-node customizer configured to arrange the stored collected data, wherein the initial configuration comprise comprises: 
 marking each of the plurality of fuse-nodes with a corresponding identifier; 
 setting at least one user-selected input variable for a proprietary social recommendation algorithm to receive from and filter data for each of the plurality of fuse-nodes, wherein the algorithm is directed to a discovery process that is a request to show content from a collection of sources that are organized by fuse node fuse-node; and 
 configuring the privacy setting of the plurality of fuse-nodes. 
 
     
     
       8. The computing device of  claim 7 , wherein each fuse-node in the plurality of fuse-nodes is a proprietary owned database that include links to other fuse-nodes, channels, media, and contents, which further include social network-friends and social network activities of the social network-friends. 
     
     
       9. The computing device of  claim 7 , wherein the initial configuration further comprises:
 ranking the collected data. 
 
     
     
       10. The computing device of  claim 7 , wherein the algorithm uses a user-selected social trust filter that limits recommended data from a social networking site, which is selected from a group of social media sources. 
     
     
       11. The computing device of claim  7  9, wherein the ranking of the collected data includes an assignment of a corresponding weight value to a channel and a content of each of the plurality of fuse-nodes. 
     
     
       12. The computing device of  claim 7 , wherein the fuse-node customizer is further configured to dynamically update ranking of the collected data based on a user-selected time period. 
     
     
       13. The computing device of  claim 7 , wherein the algorithm updates ranking of the collected data based on a fulfilment of a condition. 
     
     
       14. A non-transitory computer readable medium that comprises program instructions that causes a computer to perform the method comprising:
 initially configuring a plurality of fuse-nodes by a customizer that receives input variables that arranges one or more of categories, rankings, updates as to collected data from fuse-nodes, wherein a fuse-node includes relationship links to particular channels, media, and content, and denote different arrays of relevance to a user; 
 storing collected data based upon the initial configuration of the plurality of fuse-nodes; 
 receiving an access-request access request to a plurality of fuse-nodes, wherein the access request is received from a social networking site; 
 determining an access-authorization of the received access-request access request based on a configured privacy-setting privacy setting of the plurality of fuse-nodes, wherein the privacy-setting privacy setting includes a different permission model for each of the plurality of fuse-nodes, and determining access level authorization of a requesting user; 
 selecting collected data of the plurality of fuse-nodes based on the determined access-authorization; and 
 supplying and encrypting the selected collected data to the requesting user, wherein the fuse-nodes are created by: 
 marking each of the plurality of fuse-nodes with a corresponding identifier; 
 setting at least one user-selected input variable for a proprietary social recommendation algorithm to receive from and filter data for each of the plurality of fuse nodes fuse-nodes, wherein the algorithm is directed to a discovery process that is a request to show content from a collection of sources that are organized by fuse node fuse-node; and 
 configuring the privacy setting of the plurality of fuse-nodes. 
 
     
     
       15. The non-transitory computer readable medium of  claim 14 , wherein each data structure fuse node in the plurality of fuse-nodes is a proprietary owned database that include links to other fuse-nodes, channels, media, and contents, which further include social network-friends and social network activities of the social network-friends. 
     
     
       16. The non-transitory computer readable medium of  claim 14 , wherein creating the plurality of fuse-nodes further comprises
 ranking the collected data. 
 
     
     
       17. The non-transitory computer readable medium of  claim 15 , wherein the algorithm uses a user-selected social trust filter that limits recommended data from a social networking site, which is selected from a group of social media sources.