Recommender Systems: Basics, Types, and Design Consideration | Machine Learning | Community Webinar

Recommender systems have a wide range of applications in the industry with movie, music, and product recommendations across top tech companies like Netflix, Spotify, Amazon, etc. Consumers on the web are increasingly relying on recommendations to purchase the next product on Amazon or watch the next YouTube or TikTok video or read the next post on LinkedIn. In short, recommendation systems make life easier by proactively surfacing content for consumers to consume, thus saving time and also increasing customer satisfaction. This talk will help you understand the basics of recommender systems, the types of models used, and the design considerations for recommender systems. By the end of the session, you will know: - About the types of recommender systems - About some of the popular Machine-Learning models for recommender systems - How to measure the performance of a recommender system - The steps to design your own baseline recommender system - High-level design considerations for an industry-scale recommender system - About a few real-world recommender systems used at different companies Table of Contents: 00:00 Background 02:32 Introduction and Motivation 09:42 Types of Recommender Systems 14:08 Recommendation Models 40:05 Performance Metrics and its Designs For more captivating community talks featuring renowned speakers, check out this playlist: https://youtube.com/playlist?list=PL8eNk_zTBST-EBv2LDSW9Wx_V4Gy5OPFT For further tutorials on advanced machine learning, check out this exclusive playlist: https://youtube.com/playlist?list=PL8eNk_zTBST_SS_czCz6Do1yrUowhKBHI -- At Data Science Dojo, we believe data science is for everyone. Our data science trainings have been attended by more than 10,000 employees from over 2,500 companies globally, including many leaders in tech like Microsoft, Google, and Facebook. For more information please visit: https://hubs.la/Q01Z-13k0 💼 Learn to build LLM-powered apps in just 40 hours with our Large Language Models bo