<p>Neural models have been employed in many Information Retrieval scenarios, including ad-hoc retrieval, recommender systems, multi-media search, and even conversational systems that generate answers in response to natural language questions. <em>An Introduction to Neural Information Retrieval</em> provides a tutorial introduction to neural methods for ranking documents in response to a query, an important IR task.</p><p>The monograph&nbsp;provides a complete picture of neural information retrieval techniques that culminate in supervised neural learning to rank models including deep neural network architectures that are trained end-to-end for ranking tasks. In reaching this point, the authors cover all the important topics, including the learning to rank framework and an overview of deep neural networks.</p><p>This monograph provides an accessible, yet comprehensive, overview of the state-of-the-art of Neural Information Retrieval.</p>