Samuel Flender

Balancing automation, accuracy, and customer experience in an ever-evolving adversarial landscape Samuel Flender · Follow Published in Towards Data Science · 8 min read · 1 hour ago — (image generated by the author using ChatGPT) Fraud detection is a cornerstone of modern e-commerce, yet it is also one of the least publicized domains in Machine Learning. That’s for a good reason: it’s an adversarial domain, where fraudsters constantly invent new ways to bypass existing

The quest to LLM-ify recommender systems Samuel Flender · Follow Published in Towards Data Science · 11 min read · 4 hours ago — Image generated using ChatGPT User action sequences are among the most powerful inputs in recommender systems: your next click, read, watch, play, or purchase is likely at least somewhat related to what you’ve clicked on, read, watched, played, or purchased minutes, hours, days, months, or even years ago. Historically, the status