丸善のおすすめ度
【深層学習レコメンダシステム】
Deep Learning Recommender Systems P 313 p. 25
Pu, Chao,
Wang, Zhe,
Wang, Felice
著
発行年月 |
2025年05月 |
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出版国 |
イギリス |
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言語 |
英語 |
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媒体 |
冊子 |
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装丁 |
paper |
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ページ数/巻数 |
313 p., 1 illus. |
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ジャンル |
洋書/理工学/情報科学/データベース |
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ISBN |
9781009447508 |
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商品コード |
1039682006 |
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本の性格 |
学術書 |
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新刊案内掲載月 |
2025年01月 |
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商品URL
| https://kw.maruzen.co.jp/ims/itemDetail.html?itmCd=1039682006 |
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内容
Recommender systems are ubiquitous in modern life and are one of the main monetization channels for Internet technology giants. This book helps graduate students, researchers and practitioners to get to grips with this cutting-edge field and build the thorough understanding and practical skills needed to progress in the area. It not only introduces the applications of deep learning and generative AI for recommendation models, but also focuses on the industry architecture of the recommender systems. The authors include a detailed discussion of the implementation solutions used by companies such as YouTube, Alibaba, Airbnb and Netflix, as well as the related machine learning framework including model serving, model training, feature storage and data stream processing.