| 書目名稱 | Recommender Systems | | 副標題 | Frontiers and Practi | | 編輯 | Dongsheng Li,Jianxun Lian,Xing Xie | | 視頻video | http://file.papertrans.cn/825/824121/824121.mp4 | | 概述 | Elaborates on the basic principles of recommender systems.Explores the technical development context of recommender systems.Demystifies how to build an industrial-grade recommender system | | 圖書封面 |  | | 描述 | .This book starts from the classic recommendation algorithms, introduces readers to the basic principles and main concepts of the traditional algorithms, and analyzes their advantages and limitations. Then, it addresses the fundamentals of deep learning, focusing on the deep-learning-based technology used, and analyzes problems arising in the theory and practice of recommender systems, helping readers gain a deeper understanding of the cutting-edge technology used in these systems. Lastly, it shares practical experience with Microsoft ‘s open source project Microsoft Recommenders. Readers can learn the design principles of recommendation algorithms using the source code provided in this book, allowing them to quickly build accurate and efficient recommender systems from scratch.. .?. | | 出版日期 | Book 2024 | | 關鍵詞 | recommender systems; recommendation algorithm; data mining; Recommender System Frontiers; Recommender Sy | | 版次 | 1 | | doi | https://doi.org/10.1007/978-981-99-8964-5 | | isbn_softcover | 978-981-99-8966-9 | | isbn_ebook | 978-981-99-8964-5 | | copyright | Publishing House of Electronics Industry 2024 |
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