这本第三版手册详细介绍了经典方法以及最近在该领域引入的扩展和新方法。它包括五个部分：一般推荐技术、特殊推荐技术、推荐系统的价值和影响、人机交互和应用。第一部分介绍了目前用于构建推荐系统的最流行和最基本的技术，如协同过滤、基于语义的方法、基于隐式反馈的推荐系统、神经网络和上下文感知方法。
Recommender Systems Handbook, 3rd Edition
This third edition handbook describes in detail the classical methods as well as extensions and novel approaches that were more recently introduced within this field. It consists of five parts: general recommendation techniques, special recommendation techniques, value and impact of recommender systems, human computer interaction, and applications. The first part presents the most popular and fundamental techniques currently used for building recommender systems, such as collaborative filtering, semantic-based methods, recommender systems based on implicit feedback, neural networks and context-aware methods.
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