Lisa Becker
Lisa Becker is a Machine Learning Engineer at Pure App where she works on moderation and recommendation projects. She also freelances for O’Reilly Media, creating courses and leading live webinars on machine learning topics. As a Google Women Techmakers ambassador, she organizes events and speaks on all things AI and DEI. Lisa writes regularly about applied machine learning, and she’s passionate about building tech that feels both human and useful.
Session
Ever wondered how dating apps decide who shows up on your feed? Whether it’s Tinder, Bumble, or Hinge, these platforms use a mix of algorithms and features to predict who you might click with - and who might click back.
In this talk, we’ll explore how recommender systems form the heart of modern dating apps. You’ll learn:
• How different apps approach matching
• What makes dating recommendations different from, say, Netflix suggestions
• Why graph-based models are a natural fit for social interactions
• The human side: balancing algorithmic relevance with diversity and fairness
No prior experience with machine learning is needed. Together we’ll tackle the key concepts with real-world examples, visuals, and stories from building recommenders in practice. Come for the algorithms, stay for the love stories.