Many film recommendation systems suffer from a strong gravitational pull towards mainstream choices with no clear association to the input (”people who enjoyed

Many film recommendation systems suffer from a strong gravitational pull towards mainstream choices with no clear association to the input (”people who enjoyed The Thin Red Line also enjoyed Pulp Fiction..”). But I wonder what better results deep learning could even accomplish given a limited feature space such as user like/dislikes. A few years ago I made a recommender based on critics’ inferences in reviews. For the right kind of film (indie or festival circuit stuff and the like) it yielded quite interesting results.