Method and System for Intelligent Targeting of Advertisements

Abstract

A system for transmission, reception and accumulation of the knowledge packets to plurality of channel nodes in the network operating distributedly in a peer to peer environment via installable one or more role active Human Operating System (HOS) applications in a digital devise of each of channel node, a network controller registering and providing desired HOS applications and multiple developers developing advance communication and knowledge management applications and each of subscribers exploiting the said network resources by leveraging and augmenting taxonomically and ontologically classified knowledge classes expressed via plurality search macros and UKID structures facilitating said expert human agents for knowledge invocation and support services and service providers providing information services in the preidentified taxonomical classes, wherein each of channel nodes communicating with the unknown via domain specific supernodes each facilitating social networking and relationships development leading to human grid which is searchable via Universal Desktop Search by black box search module.

1 . A method for targeting advertisements to users of a social network, the method comprising:
 managing and indexing plurality of users data, profiles, connections and advertisements of the social network;   receiving a request for an advertisement to be provided to a user(s) of the social network;   accessing one or more advertisements, each advertisement comprising targeting criteria;   for each of the accessed advertisements, applying the targeting criteria of the advertisement to user data and profile(s) for the user in the social network to determine whether the advertisement is a prospective for targeting to the user;   routing and linking advertisement(s) for matching advertisement(s) related targeting criteria keywords with keywords of other connected one or more user(s)' data and profile(s) of the social network, to determine whether the advertisement is a prospective for targeting to the user;   selecting an advertisement from the prospective advertisements determined for the user; and   sending the selected advertisement to the user.   
     
     
         2 . The method as claimed in  claim 1 , wherein the targeting criteria comprises one or more user attributes, demographics, locations, languages, time, keywords, rank, hits, filters and preference including target applications, services, categories and networks. 
     
     
         3 . The method as claimed in  claim 1 , wherein the selecting an advertisement from the prospective advertisements based on one or more match making and business logic including rank or weighted scores, hits, historical data, bids, daily budget, transaction, relevance, relationship, one or more filters, rules and criteria for presenting one or more advertisements to user. 
     
     
         4 . The method as claimed in  claim 1 , wherein the targeting criteria is applied to connected or related users of the user or connected users up-to (N) numbers of depths or degrees of separation. 
     
     
         5 . The method as claimed in  claim 1 , wherein the targeting criteria is applied to one or more matched or like minded users of a social network based on one or more criteria. 
     
     
         6 . The method as claimed in  claim 1 , wherein selecting and presenting an advertisement for the user based on rank and hits of advertisement, keyword(s), user and connected users of user. 
     
     
         7 . The method as claimed in  claim 1 , further comprising: receiving review from the user corresponding to the selected advertisement; update the rank of advertisement, user and connected users of user. 
     
     
         8 . The method as claimed in  claim 1 , wherein the user can manually or system can automatically routing and linking one or more advertisement(s) to other one or more connected users. 
     
     
         9 . The method as claimed in  claim 1 , wherein users of social network are connected via online networks or central server unit, ad-hoc networks, mobile networks and peer to peer networks. 
     
     
         10 . A method for targeting advertisements, the method comprising:
 maintaining a plurality of user profiles and one or more relational connections or dynamic relationships among the users, wherein one or more of the user profiles includes one or more connections to other users;   receiving a request for an advertisement to be provided to a user associated with one of the user profiles;   identifying one or more prospective advertisements to provide to the user, each advertisement associated with targeting criteria;   for each of the advertisements, applying the targeting criteria associated with the advertisement to one or more of the user(s) that have connections to the user profile associated with the user;   selecting at least one advertisement from the prospective advertisements based at least in part on the applying the targeting criteria associated with the advertisement to one or more of the user profiles that have connections to the user profile associated with the user; and   sending the selected advertisement to the user.   
     
     
         11 . The method of  claim 1 , wherein one or more of the user profile store information about a user associated with the user profile(s), and applying the targeting criteria to a user profile comprises comparing the targeting criteria against the information stored in the user profile including one or more profiles and extended profiles data, applications and services data, preferences, publications, messages, user databases, surveys data and user data. 
     
     
         12 . The method of  claim 1 , wherein one or more of the user profiles are associated with dynamic information about a user associated with the user profile, and applying the targeting criteria to a user profile comprises comparing the targeting criteria against the dynamic information associated with the user profile including recorded or auto generated user actions, transactions and events or journal data based on one or more activities, recorded behavior, wants, needs, understanding, multiple attributes and searching actions or search macros, auto recorded survey data and auto sensed data for users. 
     
     
         13 . A system for targeting advertisements to users of a social network, the system comprising:
 a user profile store containing profiles and user data of plurality of users of the social network;   an advertisement store containing a plurality of advertisements, each advertisement comprising targeting criteria;   an index store containing index data of plurality of users data, profiles, connections and advertisements of the social network   a communications server for communicating with user devices requesting advertisements; and an advertisement server, communicatively coupled to the communications server, the user profile store, the advertisement store, and the index store for targeting advertisements to the users of the social network, the advertisement server comprising: a module for receiving a request for an advertisement to be provided to a user of the social network;   a module for applying the targeting criteria of one or more of the advertisements to user data and profile(s) for the user in the social network to determine whether the advertisement is a prospective for targeting to the user;   a module to route and link advertisement(s) for matching advertisement(s) related targeting criteria keywords with keywords of other connected one or more user(s)' data and profile(s) of the social network, to determine whether the advertisement is a prospective for targeting to the user;   a module for selecting an advertisement from the prospective advertisements determined for the user; and a module to present the selected advertisement to the user.   
     
     
         14 . The system as claimed in  claim 13 , wherein the targeting criteria comprises one or more user attributes, demographics, locations, languages, time, keywords, rank, hits, filters and preference including target applications, services, categories, networks. 
     
     
         15 . The system as claimed in  claim 13 , wherein module is configured to the select an advertisement from the prospective advertisements based on one or more match making and business logic including rank or weighted scores, hits, historical data, bids, daily budget, transaction, relevance, relationship, one or more filters, rules and criteria for presenting one or more advertisements to user. 
     
     
         16 . The system as claimed in  claim 13 , wherein the targeting criteria is applies to connected or related users of the user or connected users up-to (N) numbers of depths or degrees of separation. 
     
     
         17 . The system as claimed in  claim 13 , wherein the targeting criteria is applies to one or more matched or like minded users of a social network based on one or more criteria. 
     
     
         18 . The system as claimed in  claim 13 , wherein module is configured to select and present an advertisement for the user based on rank and hits of advertisement, keyword(s), user and connected users of user. 
     
     
         19 . The system as claimed in  claim 13 , wherein further comprising: receive review from the user corresponding to the selected advertisement; update the rank of advertisement, user and connected users of user. 
     
     
         20 . The system as claimed in  claim 13 , wherein the user is enabled to manually or system is enabled to automatically route and link one or more advertisement(s) to other one or more connected users. 
     
     
         21 . The system as claimed in  claim 13 , wherein enable users to connect social network via online networks or central server unit, ad-hoc networks, mobile networks and peer to peer networks. 
     
     
         22 . The system as claimed in  claim 13 , wherein module is configured to manage and store one or more of the user profile(s), and applying the targeting criteria to a user profile comprises comparing the targeting criteria against the information stored in the user profile including one or more profiles and extended profiles data, applications and services data, preferences, publications, messages, user databases, surveys data and user data. 
     
     
         23 . The system as claimed in  claim 13 , wherein module is configured to manage and store one or more of the user profiles(s) associated with dynamic information about a user, and applying the targeting criteria to a user profile comprises comparing the targeting criteria against the dynamic information associated with the user profile including recorded or auto generated user actions, transactions and events or journal data based on one or more activities, recorded behavior, wants, needs, understanding, multiple attributes and search actions or search macros, auto recorded survey data and auto sensed data for users.