This second edition of a well-received text, with 20 new chapters, presents a coherent and unified repository of recommender systems’ major concepts, theories, methodologies, trends, and challenges. A variety of real-world applications and detailed case studies are included. In addition to wholesale revision of the existing chapters, this edition includes new topics including: ...(展开全部)

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 m...(展开全部)

Practical Recommender Systems explains how recommender systems work and shows how to create and apply them for your site. After covering the basics, you'll see how to collect user data and produce personalized recommendations. You'll learn how to use the most popular recommendation algorithms and see examples of them in action on sites like Amazon and Netflix. Finally, the book...(展开全部)

This book comprehensively covers the topic of recommender systems, which provide personalized recommendations of products or services to users based on their previous searches or purchases. Recommender system methods have been adapted to diverse applications including query log mining, social networking, news recommendations, and computational advertising. This book synthesizes...(展开全部)

桑标 1966年4月出生。华东师范大学心理与认知科学学院教授、博士生导师、副院长。中国心理学会理事、发展心理专业委员会副主任委员、心理学教学工作委员会委员，上海市心理学会常务理事、上海市家庭教育研究会副会长。上海市第七届曙光学者，人选教育部优秀青年教师资助计划、教育部新世纪优秀人才支持计划。主要从事儿童认知与社会性发展的研究与教学工作，承担国家自然科学基金项目、全国教育科学“十五”规划重点课题、上海市哲学社会科学规划课题等多项科研项目，获全国教育科学优秀成果二等奖和三等奖、上海市优秀教学成果一等奖，发表学术论文80余篇。 詹姆斯·格罗斯博士是美国斯坦福大学心理学系副教授，斯坦福大学心理生理学实验室的负责人。在情绪与情绪调节研究领域中，他与其团队一直处于领先的地位，并在情绪调节理论建立与情绪调节过程的实证性研究中，取得了大量的成果，是目前世界...(展开全部)

迪帕克·K. 阿加瓦尔（Deepak K. Agarwal） LinkedIn公司副总裁，领导人工智能/机器学习团队的研发工作。之前曾任Yahoo!研究院研究主管和首席研究员，以及AT&T公司研究员。20多年来，他致力于为Web应用开发、部署机器学习和统计方法，以及解决推荐系统和计算广告领域的大数据问题。 陈必衷（Bee-Chung Chen）　LinkedIn公司首席主任工程师、应用研究员，曾任Yahoo!研究院研究员。作为核心开发者，他为LinkedIn和Yahoo!设计了前沿的推荐算法，

Distributed Systems: An Algorithmic Approach, Second Edition provides a balanced and straightforward treatment of the underlying theory and practical applications of distributed computing. As in the previous version, the language is kept as unobscured as possible―clarity is given priority over mathematical formalism. This easily digestible text: Features significant updates tha...(展开全部)

Distributed Systems: An Algorithmic Approach, Second Edition provides a balanced and straightforward treatment of the underlying theory and practical applications of distributed computing. As in the previous version, the language is kept as unobscured as possible―clarity is given priority over mathematical formalism. This easily digestible text: Features significant updates tha...(展开全部)

The Handbook of Economic Sociology, Second Edition is the most comprehensive and up-to-date treatment of economic sociology available. The first edition, copublished in 1994 by Princeton University Press and the Russell Sage Foundation as a synthesis of the burgeoning field of economic sociology, soon established itself as the definitive presentation of the field, and has bee...(展开全部)

The Handbook of Economic Sociology, Second Edition is the most comprehensive and up-to-date treatment of economic sociology available. The first edition, copublished in 1994 by Princeton University Press and the Russell Sage Foundation as a synthesis of the burgeoning field of economic sociology, soon established itself as the definitive presentation of the field, and has been ...(展开全部)