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Hard Lessons Learned from Recommender Systems

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