John Herlocker (Computer Scientist)

John Herlocker is a computer scientist known for his work in the field of recommendation systems, which help users discover new products, movies, music, and more based on their preferences. He played a significant role in developing algorithms that analyze user behavior and preferences to provide personalized suggestions. His research contributes to making technology more intuitive and user-friendly by ensuring that people receive tailored content. Herlocker has also published influential papers on collaborative filtering, a method that recommends items based on the preferences of similar users, which is widely used in platforms like Netflix and Amazon.