Evolution of Search

Andrew discusses the historical application of machine learning in search, from rule-based algorithms to the impact of deep neural networks today. The conversation delves into the transition from statistical-based methods to discriminative models, highlighting the pivotal role of learning to rank techniques in improving search relevancy.