Which machine learning algorithm was first widely adopted by scientific supply retailers to power their product recommendation engines?

Machine learning algorithms have transformed how scientific supply companies suggest products to researchers and laboratories. These sophisticated systems analyze purchasing patterns, research trends, and even published papers to predict what a scientist might need next. But which pioneering algorithm first revolutionized this field and changed how researchers discover new lab equipment and materials?

This is a live public trivia poll on AIPolls.Net. Vote and see real-time results.

Collaborative filtering (specifically matrix factorization)
Neural network-based deep learning
Random forest decision trees
Natural language processing with BERT