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Recommender Systems: Metrics, Trends, and Challenges

Offered By: Data Science Dojo via YouTube

Tags

Recommender Systems Courses Data Science Courses Machine Learning Courses E-commerce Courses Content-Based Filtering Courses Collaborative Filtering Courses

Course Description

Overview

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Explore the critical role of recommender systems in driving user engagement and revenue for platforms like Amazon and Netflix in this 53-minute webinar. Discover how these systems account for significant portions of sales and viewing hours, and learn about their projected value generation by 2030. Gain insights into transforming digital strategies and boosting revenue through recommender systems. Examine the evolution from 1st Generation models like Content-Based and Collaborative Filtering to advanced approaches such as Graph Networks and Two-Tower Networks. Address practical deployment issues and obtain expert strategies for successful implementation. Join Senior Data Scientist Karun Thankachan from Walmart as he delves into the metrics, trends, and challenges of recommender systems in this Data Science Dojo presentation.

Syllabus

Recommender Systems: Metrics, Trends, and Challenges


Taught by

Data Science Dojo

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