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Friday Seminar Series- Scott Sanner: Autoencoders for Collaborative Filtering
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Last Updated: October 15, 2026
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In this talk we will present the topic of recommendation systems. We will focus on two popular approaches: neighborhood-based ... Chapters: 0:03 Overview of Recommender Systems Sound recorded with Blue Yeti Microphone: amzn.to/4wK7sTb Video recorded with Logitech Brio: amzn.to/3UghAEA ... This video provides a conceptual walk-through of basic K nearest Neighbor K-nearest neighbor finds the k most similar items to a particular instance based on a given distance metric ... In this video we discuss the following properties: 1. Recommendation engine 2. Long Tail Issue 3. Cold Start Problem. Okay guys the second thing that I have to do in this chapter is another approach so rather than A recommendation system stares at a huge, almost entirely empty table of ratings and asks one question: what would this person ... Okay so for this chapter the first thing that we want to talk about is that there are actually two types of That's called item based clever
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