"推荐系统手册第三版:最权威的指南与最新研究"
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更新于2024-03-14
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The third edition of the "Recommender Systems Handbook" is a comprehensive guide on the cutting-edge technology of recommender systems. Edited by Francesco Ricci, Lior Rokach, and Bracha Shapira, this handbook covers a wide range of topics related to recommendation algorithms, systems, evaluation, and applications.
The editors, who are experts in the field of computer science and information systems engineering, have compiled contributions from leading researchers and practitioners to provide insights into the latest advancements in recommender systems.
With a focus on both the theoretical and practical aspects of recommender systems, this handbook offers a thorough overview of the different types of recommendation techniques, including collaborative filtering, content-based filtering, and hybrid approaches.
Furthermore, it explores various evaluation metrics and methodologies for measuring the performance of recommendation algorithms, as well as real-world applications of recommender systems in e-commerce, social networks, and personalized services.
Overall, the "Recommender Systems Handbook, 3rd Edition" serves as an essential reference for researchers, students, and industry professionals interested in understanding and implementing state-of-the-art recommender systems technology.
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