<?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/2c63cc4fb32540149a814972895d4e12&quot; frameborder=&quot;0&quot; width=&quot;1166&quot; height=&quot;874&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>874</height><width>1166</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>874</thumbnail_height><thumbnail_width>1166</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/2c63cc4fb32540149a814972895d4e12-50d90abc409b50fe.gif</thumbnail_url><duration>300.205</duration><title>Extended Music Recommendations Demo and Evaluation</title><description>Hi, in this Loom I show the project with the extended features. I start by installing requirements, then run the main code with default K=5, where the system ranks 5 songs with clear reasons like gender match, mood match, future closeness, and a confidence score where 1 is highest certainty. Next I run a custom profile, validate preferences within ranges, narrow to 9 candidates, then select the top 3 with a guardrail for diversity and ranking stability. I evaluate four Lofi and Tumor scenarios, get content scores from about 0.31 to 0.1 for certainty, and an average score around 0.78. I end by moving to an automated test pad, with no specific viewer action requested.</description></oembed>