Lantao (49 results)
Language: English
Published by CRC Press, 2021
- Hardcover
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Condition: very_good. Book is in very good condition and may include minimal underlining highlighting. The book can also include "From the library of" labels. May not contain miscellaneous items toys, dvds, etc. . We offer 100% money back guarantee and 24 7 customer service.
Language: English
Published by CRC Press, 2024
- Softcover
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Language: English
Published by CRC Press, 2024
- Softcover
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Language: English
Published by CRC Press, 2024
- Softcover
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- Hardcover
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- Softcover
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- Hardcover
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Language: English
Published by CRC Press, 2024
- Softcover
Seller: Majestic Books, Hounslow, United KingdomMajestic Books
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- Hardcover
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Language: English
Published by CRC Press, 2024
- Softcover
Seller: Books Puddle, New York, NY, U.S.A.Books Puddle
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- Hardcover
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Hardcover. Condition: new. Hardcover. Recommender systems, as a highly popular AI technology in recent years, have been widely applied across various industries. They have transformed the way we interact with technology, influencing our choices and shaping our experiences. This book provides a comprehensive introduction to indus…trial recommender systems, starting with the overview of the technical framework, gradually delving into each core module such as content understanding, user profiling, recall, ranking, re-ranking and so on, and introducing the key technologies and practices in enterprises.The book also addresses common challenges in recommendation cold start, recommendation bias and debiasing. Additionally, it introduces advanced technologies in the field, such as reinforcement learning, causal inference.Professionals working in the fields of recommender systems, computational advertising, and search will find this 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 understanding of the foundational framework, insights into core technologies, and advancements in industrial recommender systems.The translation was done with the help of artificial intelligence. A subsequent human revision was done primarily in terms of content. Recommender systems, as a highly popular AI technology in recent years, have been widely applied across various industries, they have transformed the way we interact with technology, influencing our choices and shaping our experiences. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Language: English
Published by CRC Press, 2024
- Softcover
Seller: California Books, Miami, FL, U.S.A.California Books
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Language: English
Published by CRC Press, 2024
- Softcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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Language: English
Published by CRC Press, 2024
- Softcover
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Language: English
Published by CRC Press, 2024
- Softcover
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
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- Softcover
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- Hardcover
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Condition: New. 2024th edition NO-PA16APR2015-KAP.
Language: English
Published by CRC Press, 2021
- Hardcover
Seller: Basi6 International, Irving, TX, U.S.A.Basi6 International
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Condition: Brand New. New. Delivery takes 25-30 days. Excellent Customer Service.
Language: English
Published by CRC Pr I Llc, 2024
- Softcover
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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Paperback. Condition: Brand New. 249 pages. 9.18x6.12x9.21 inches. In Stock.
- Hardcover
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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Hardcover. Condition: Brand New. 260 pages. 9.25x6.10x8.90 inches. In Stock.
Language: English
Published by CRC Press, 2021
- Hardcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Condition: As New. Unread book in perfect condition.
- Softcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Recommender systems, as a highly popular AI technology in recent years, have been widely applied across various industries. They have transformed the way we interact with technology, influencing our choices and shaping our experiences. This book pr…ovides a comprehensive introduction to industrial recommender systems, starting with the overview of the technical framework, gradually delving into each core module such as content understanding, user profiling, recall, ranking, re-ranking and so on, and introducing the key technologies and practices in enterprises.The book also addresses common challenges in recommendation cold start, recommendation bias and debiasing. Additionally, it introduces advanced technologies in the field, such as reinforcement learning, causal inference.Professionals working in the fields of recommender systems, computational advertising, and search will find this 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 understanding of the foundational framework, insights into core technologies, and advancements in industrial recommender systems.The translation was done with the help of artificial intelligence. A subsequent human revision was done primarily in terms of content.
Language: English
Published by CRC Press 2021-12-15, 2021
- Hardcover
Seller: Chiron Media, Wallingford, United KingdomChiron Media
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Hardcover. Condition: New.
- Hardcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Recommender systems, as a highly popular AI technology in recent years, have been widely applied across various industries. They have transformed the way we interact with technology, influencing our choices and shaping our experiences. This book provides…a comprehensive introduction to industrial recommender systems, starting with the overview of the technical framework, gradually delving into each core module such as content understanding, user profiling, recall, ranking, re-ranking and so on, and introducing the key technologies and practices in enterprises.The book also addresses common challenges in recommendation cold start, recommendation bias and debiasing. Additionally, it introduces advanced technologies in the field, such as reinforcement learning, causal inference.Professionals working in the fields of recommender systems, computational advertising, and search will find this 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 understanding of the foundational framework, insights into core technologies, and advancements in industrial recommender systems.The translation was done with the help of artificial intelligence. A subsequent human revision was done primarily in terms of content.
Language: English
Published by CRC Press, 2021
- Hardcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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Condition: New.
Language: English
Published by CRC Press, 2021
- Hardcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Condition: New.
Language: English
Published by H N H International Limited, 2021
- Hardcover
Seller: Majestic Books, Hounslow, United KingdomMajestic Books
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Condition: New.
Language: English
Published by H N H International Limited, 2021
- Hardcover
Seller: Books Puddle, New York, NY, U.S.A.Books Puddle
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Condition: New. 1st edition NO-PA16APR2015-KAP.
Language: English
Published by CRC Press, 2021
- Hardcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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Condition: As New. Unread book in perfect condition.
Language: English
Published by CRC Press, 2021
- Hardcover
Seller: California Books, Miami, FL, U.S.A.California Books
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