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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: • Community Talks For further tutorials on advanced machine learning, check out this exclusive playlist: • Advanced Machine Learning -- 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 bootcamp: https://hubs.la/Q01ZZGL-0 💼 Get started in the world of data with our top-rated data science bootcamp: https://hubs.la/Q01ZZDpt0 💼 Master Python for data science, analytics, machine learning, and data engineering: https://hubs.la/Q01ZZD-s0 💼 Explore, analyze, and visualize your data with Power BI desktop: https://hubs.la/Q01ZZF8B0 -- Unleash your data science potential for FREE! Dive into our tutorials, events & courses today! 📚 Learn the essentials of data science and analytics with our data science tutorials: https://hubs.la/Q01ZZJJK0 📚 Stay ahead of the curve with the latest data science content, subscribe to our newsletter now: https://hubs.la/Q01ZZBy10 📚 Connect with other data scientists and AI professionals at our community events: https://hubs.la/Q01ZZLd80 📚 Checkout our free data science courses: https://hubs.la/Q01ZZMcm0 📚 Get your daily dose of data science with our trending blogs: https://hubs.la/Q01ZZMWl0 -- 📱 Social media links Connect with us: / data-science-dojo Follow us: / datasciencedojo Keep up with us: / data_science_dojo Like us: / datasciencedojo Find us: https://www.threads.net/@data_science... -- Also, join our communities: LinkedIn: / 13601597 Twitter: / 1677363761399865344 Facebook: / aiandmachinelearningforeveryone Vimeo: https://vimeo.com/datasciencedojo Discord: / discord _ Want to share your data science knowledge? Boost your profile and share your knowledge with our community: https://hubs.la/Q01ZZNCn0 #recommendationsystems #machinelearning #llm #largelanguagemodels