Explore the application of non-negative matrix factorization in analyzing online restaurant reviews to improve personalized dining recommendations. Learn how to group users with similar tastes, identify meaningful reviews and restaurants, and develop a more effective method for finding eateries that suit individual preferences. Follow along as the speaker demonstrates data handling techniques and shares insights gained from this approach, suitable for those with basic Python and matrix mathematics knowledge.