Enhanced User Experience and Behavioral Patterns for Digital Cultural Ecosystems

The world's digital content and media is growing rapidly at a never stopping rate. There are millions of digital media assets on display through mobile devices, home entertainment systems or computers. The vast pool of visual and audio information has to therefore be grouped in different ecosystems depending on their nature or intended audience to simplify the problem of searching, finding and personalizing datasets on demand. Though such is the case for the Digital Cultural Ecosystems, we still need to introduce number of smart methodologies to make the process of narrowing down vast number of digital assets in order to arrive at a desirable media and essentially personalize and automate the approach. In this paper, we propose a method that deals with the detection, extraction and personalization of media assets applied to the world of digital cultural ecosystems.