<p><pre><code>  MUBI&#x27;s curatorial approach stands in sharp contrast to major streaming services
  like Netflix, Hulu, and Amazon, which have amassed large libraries and deliver
  personalized recommendations based on algorithms. MUBI&#x27;s human-curated selection
  takes a lot of that choice away, and Cakarel thinks viewers are better off
  for it.

  &quot;Think about your own Netflix experience and how frustrating it is — how
  long it takes you to find a film that you want to watch,&quot; says Cakarel.
  &quot;It doesn&#x27;t work. It categorically doesn&#x27;t work.&quot;
</code></pre>
While I get what they&#x27;re saying, I still wonder if it wouldn&#x27;t be interesting to try out some personal recommendation algorithms&#x2F;systems on their user ratings dataset. (After reviewing their T&amp;C, I&#x27;ve actually crawled through their data (more like, their backend exposes neat API endpoints that are not part of any formal API (officially they don&#x27;t have one)..) some time ago, and am still curious to just try out some stuff from <i>scikit-learn</i>.<p>Maybe someone has thought&#x2F;done the same? When contacted, the MUBI team (IIRC) basically said they&#x27;re not interested in that as of now.