<story><title>Implementing your own recommender systems in Python</title><url>http://online.cambridgecoding.com/notebooks/eWReNYcAfB/implementing-your-own-recommender-systems-in-python-2</url></story><parent_chain><item><author>jack_pp</author><text>How cool would it be to have a recommendation system for music that follows &lt;i&gt;mood&lt;/i&gt;? That could be trained on actual music not by me saying &amp;quot;I listen to songs x,y,z when sad, a1,b1,c2 when it&amp;#x27;s sunny and i&amp;#x27;m feeling good etc&amp;quot;. If this will ever exist it would probably increase my hedonic index 10 fold</text></item></parent_chain><comment><author>halflings</author><text>There&amp;#x27;s certainly a lot of research trying to incorporate things like this into recommendations, but it never really made it to mature products (apart from some experiments on last.fm, 8tracks, etc.)&lt;p&gt;Spotify tries to accommodate this by offering curated playlists based on moods, but knowing a user&amp;#x27;s mood to make that type of recommendations is hard. (it&amp;#x27;s a bit intrusive for a music streaming service to ask you how you feel every time you start it up)</text></comment>
<story><title>Implementing your own recommender systems in Python</title><url>http://online.cambridgecoding.com/notebooks/eWReNYcAfB/implementing-your-own-recommender-systems-in-python-2</url></story><parent_chain><item><author>jack_pp</author><text>How cool would it be to have a recommendation system for music that follows &lt;i&gt;mood&lt;/i&gt;? That could be trained on actual music not by me saying &amp;quot;I listen to songs x,y,z when sad, a1,b1,c2 when it&amp;#x27;s sunny and i&amp;#x27;m feeling good etc&amp;quot;. If this will ever exist it would probably increase my hedonic index 10 fold</text></item></parent_chain><comment><author>xapata</author><text>Songza, acquired by and merged into Google Music, is trying to do that. I&amp;#x27;ve recently converted from Spotify.</text></comment>