Key Takeway

As AI-assisted search and service interactions become ubiquitous, recommender systems must demonstrate the transparency needed to persuade customers and earn their trust.  This approach shows how to engineer such systems to deliver interpretable predictions and user-centered explanations that are grounded in the same quality and social signals used for prediction.