Method and system for delivering personalized content based on emotional states determined using artificial intelligence

Abstract

Disclosed are a system, method and software to associate attributes with digital media assets. Digital media contains specific assets, such as images, that can be replaced with other assets. The system, method and software permit the association of attributes with specific assets. The association of attributes and assets enables the provision of content that is enhanced and more impacting for a user.

What is claimed is: 
     
         1 . A method of delivering content based on emotional experiences to a user, comprising:
 storing, at a server, a plurality of user interactions performed with a plurality of digital media assets within a social network;   determining, by the server, using an artificial intelligence method, at least one digital media asset having an emotional impact on the user;   determining, by the server, an emotional state of the user associated with the emotional impact, using the artificial intelligence method;   selecting, by the server, a targeted digital media asset associated with the emotional state of the user; and   displaying, by the server, the targeted digital media asset to the user within the social network.   
     
     
         2 . The method of  claim 1 , wherein the artificial intelligence method is selected from a group consisting of machine learning and fuzzy logic. 
     
     
         3 . The method of  claim 1 , wherein the digital media assets are selected from a group consisting of video, animation, and tickertape messages. 
     
     
         4 . The method of  claim 1 , wherein the targeted digital media asset is advertising content. 
     
     
         5 . The method of  claim 1 , wherein the step of determining, by the server, an emotional state of the user associated with the emotional impact, using the artificial intelligence method, further comprises analyzing, by the server, at least one of a demographic information, psycho-demographic information, cognitive state, and group interaction of the user. 
     
     
         6 . The method of  claim 1 , wherein the targeted digital media asset is inserted into a video by the server within the social network. 
     
     
         7 . The method of  claim 6 , wherein the video is a user generated video, song, slideshow, collage or digital media composition. 
     
     
         8 . A system for delivering content based on emotional experiences to a user, comprising:
 a server configured to store a plurality of user interactions correlated with a plurality of digital media assets within a social network;   an artificial intelligence processor coupled to the server and configured to identify at least one digital media asset having an emotional impact on a user, wherein the emotional impact is based at least in part on the extent of user interactions with the at least one digital media asset;   a media generator coupled to the server and configured to identify other digital media assets associated with the at least one digital media, the media generated further configured to generate a content stream consisting of the at least one digital media asset and the other digital media assets; and   a content server coupled to the server and configured to deliver the content stream to the user within the social network.   
     
     
         9 . The system of  claim 8 , wherein the at least one digital media asset is selected from a group consisting of a video, a photograph, a song, and an advertisement. 
     
     
         10 . The system of  claim 8 , wherein the other digital media assets are selected from a group consisting of a video, a photograph, a song, and an advertisement. 
     
     
         11 . The system of  claim 8 , wherein the at least one digital media asset is a video and the other digital media assets include an advertisement. 
     
     
         12 . The system of  claim 8 , wherein the artificial intelligence processor uses at least one of a machine learning process or a fuzzy logic process. 
     
     
         13 . The system of  claim 8 , wherein the artificial intelligence processor determines the emotional impact by analyzing at least one of a demographic information, psycho-demographic information, cognitive state, and social or group interaction of the user. 
     
     
         14 . The system of  claim 8 , wherein the content stream is associated with a specific date or event related to the user. 
     
     
         15 . A system to generate personalized content based on user emotions, comprising:
 a server configured to store a plurality of user likes and user dislikes correlated with a plurality of digital media assets within a social network;   an artificial intelligence processor coupled to the server and configured to identify at least one digital media asset having a positive emotional impact on the user based on the user likes, the artificial intelligence processor further configured to identify other digital media assets associated with the at least one digital media;   a media generator coupled to the server and configured to generate a content stream consisting of the at least one digital media asset and the other digital media assets; and   a content server coupled to the server and configured to deliver the content stream to the user within the social network.   
     
     
         16 . The system of  claim 15 , wherein the artificial intelligence processor is further configured to identify at least one digital media asset having a negative emotional impact on the user based on the user dislikes. 
     
     
         17 . The system of  claim 15 , wherein the artificial intelligence processor identifies other digital media assets by determining if the other digital media assets would have a positive emotional impact on the user. 
     
     
         18 . The system of  claim 15 , wherein the at least one digital media asset is a video and the other digital media assets include an advertisement. 
     
     
         19 . The system of  claim 15 , wherein the artificial intelligence processor uses at least one of a machine learning process or a fuzzy logic process. 
     
     
         20 . The system of  claim 15 , wherein the artificial intelligence processor determines the emotional impact by analyzing at least one of a demographic information, psycho-demographic information, cognitive state, and group interaction of the user.