{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/0ff3d9fabb67411189398f8315e9af9e\" frameborder=\"0\" width=\"1658\" height=\"1243\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1243,"width":1658,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1243,"thumbnail_width":1658,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/0ff3d9fabb67411189398f8315e9af9e-a56778afd9e5f689.gif","duration":136.342,"title":"Music Recommender System End to End Demo","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."}