<?xml version="1.0" encoding="UTF-8"?><oembed><type>video</type><version>1.0</version><html>&lt;iframe src=&quot;https://www.loom.com/embed/0ff3d9fabb67411189398f8315e9af9e&quot; frameborder=&quot;0&quot; width=&quot;1658&quot; height=&quot;1243&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1243</height><width>1658</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1243</thumbnail_height><thumbnail_width>1658</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/0ff3d9fabb67411189398f8315e9af9e-a56778afd9e5f689.gif</thumbnail_url><duration>136.342</duration><title>Music Recommender System End to End Demo</title><description>I demo my Music Recommender System end to end. It takes my user input, loads songs from a small database with real tracks and song notes, filters by genre and wood tech, combines unique candidates, then scores and ranks them using my commander logic. I run the main file to test different user profiles, and it outputs five ranked recommendations. I also run an evaluation harness that uses the song notes for full end to end workflow. No action is requested from viewers in this demo.</description></oembed>