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Titlebook: Industrial Recommender System; Principles, Technolo Lantao Hu,Yueting Li,Kexin Yi Book 2024 Publishing House of Electronics Industry, Beiji

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發(fā)表于 2025-3-26 22:31:36 | 只看該作者
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發(fā)表于 2025-3-27 05:06:16 | 只看該作者
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Lantao Hu,Yueting Li,Guangfan Cui,Kexin Yi Comparative Genomics, Transcriptomics and Proteomics, and ? nally Microbial Communities. The ? rst ? ve chapters are introductions of various sorts. Each of these chapters represents an introduction to a speci? c scienti? c ? eld, to bring all readers up to the same basic level before proceeding on
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發(fā)表于 2025-3-27 14:58:41 | 只看該作者
The ? rst ? ve chapters are introductions of various sorts. Each of these chapters represents an introduction to a speci? c scienti? c ? eld, to bring all readers up to the same basic level before proceeding on978-1-84996-763-1978-1-84800-255-5Series ISSN 1568-2684 Series E-ISSN 2662-2432
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發(fā)表于 2025-3-27 20:33:49 | 只看該作者
majoring in artificial intelligence, computer science, software engineering, and related disciplines. Furthermore, it caters to readers with an interest in recommender systems, providing them with an understand978-981-97-2583-0978-981-97-2581-6
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發(fā)表于 2025-3-27 23:06:46 | 只看該作者
Book 2024his book valuable. It is also suitable for undergraduate, graduate, and doctoral students majoring in artificial intelligence, computer science, software engineering, and related disciplines. Furthermore, it caters to readers with an interest in recommender systems, providing them with an understand
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https://doi.org/10.1007/978-981-97-2581-6Recommender System; Personalized recommendation; Deep Learning; Machine Learning; Artificial Intelligenc
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