Hard Lessons Learned from Recommender Systems

Описание: Join us for an engaging session where Georgina, a seasoned expert in recommender systems, shares hard-earned lessons from her years of experience in building such systems for major entities.

From tackling messy data to managing the emotional reactions of users to their recommendations, Georgina covers a broad array of challenges and best practices. Learn about the ethical considerations of data privacy, the intricacies of user behavior, and the importance of contextual and real-time recommendations.

Whether you are new to recommender systems or a seasoned professional, this session offers valuable insights and practical advice to enhance your recommender projects.

00:52 Introduction to Recommender Systems
03:13 Georgina's Background and Experience
06:46 Understanding Recommender Systems
14:01 Ethical Considerations in Recommender Systems
21:01 Practical Tips for Effective Recommender Systems
24:23 The Cucumber Conundrum
24:50 Understanding SKU Consolidation
25:59 Avoiding the Milk Bottle Browsing Experience
26:36 Collaborating with Product Managers
27:49 Experiencing Your Own Algorithm
29:03 Insights from Coffee and Biscuits
31:46 The Pitfalls of Imported Algorithms
34:14 Creating Blind Groupings for Better Recommendations
36:24 Ethical Considerations in Recommendations
45:39 Handling Cold Start Problems