<?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/db98a7c889f44ffcb5dea4e0518f5d42&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/db98a7c889f44ffcb5dea4e0518f5d42-17031147a7882d9c.gif</thumbnail_url><duration>396.61</duration><title>Intelligent Bistro App with Hybrid Recommendations</title><description>This Loom demonstrates the Intelligent Bistro mobile app ordering experience and the hybrid recommendation feature behind it. Surya shows how users can build an order from category-based menus, including confirming the specific burger type when only “a burger” is requested, then adding items like a Wagyu smash burger and truffle fries. The top of the menu refreshes to recommend additional items using collaborative filtering combined with content-based filtering. The video also covers cart summarization checks before placing an order with optional email confirmation, then reviewing order history and saving favorites such as New York cheesecake and seasonal gelato.</description></oembed>