Our present-day search engines and recommender systems strongly focus on replicating earlier evidenced consumption success. But what if a user would want to develop a new interest? And what about those many items that got digitized, but hardly ever get found, simply because too few people know of their existence? As a musician, I frequently have been experimenting with this, and I believe the solution lies in proper presentation, contextualization, and comparative differentiation with respect to known standards. As a computer scientist, I am working on scaling and generalizing these thoughts, in the music domain and beyond.
