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Recommender Systems: The Textbook 1st ed. 2016 Edition
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Recommender Systems: The Textbook 1st ed. 2016 Edition
Recommender Systems: The Textbook 1st ed. 2016 Edition
artikal br.: 26197588

Recommender Systems: The Textbook 1st ed. 2016 Edition

85% of respondents would recommend this to a friend

artikal br.: 26197588

RSD 9802

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What Stands Out

Comprehensive Coverage
This textbook offers in-depth insights into various recommender system methodologies, making it an essential resource for both students and professionals seeking to understand the complexities of recommendation algorithms.
Practical Examples
Real-world case studies and practical examples are included, illustrating theoretical concepts in action. This feature enhances comprehension and enables readers to apply their knowledge effectively in practical scenarios.
Updated Research
With the latest research and advancements in the field, this edition provides contemporary insights that keep readers informed about emerging trends and future directions in recommender systems.

Детаљи о производу

Discover the comprehensive Recommender Systems Textbook 1st Edition 2016. Order now from Ubuy, a Serbia offering worldwide delivery.
Publisher Springer
Publication date April 4, 2016
Edition 1st ed. 2016
Language English
Print length 519 pages
ISBN-10 3319296574
ISBN-13 978-3319296579
Item Weight 3.75 pounds (1.7 kg)
Dimensions 7.3 x 1.3 x 10.1 inches (18.5 x 3.3 x 25.7 cm)

Who Should Buy?

Suitable For
  • Students

    Ideal for students studying data science or machine learning, as it provides foundational concepts and practical applications of recommender systems.

  • Researchers

    Researchers in the field can benefit from this textbook, offering in-depth analysis and citations for academic work in recommender systems.

  • Data Scientists

    Practicing data scientists looking to enhance their understanding of algorithms can find valuable insights and techniques within this textbook.

Not Suitable For
  • Beginners

    Individuals with no prior experience in data science may find the content too advanced and challenging to comprehend fully.

OPIS PROIZVODA

Recommender Systems: The Textbook 1st ed. 2016 Edition

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  • Pitanje: Како купити Recommender Systems: The Textbook 1st ed. 2016 на мрежи од Убуи-а?

    Odgovor: Лако је куповати Recommender Systems: The Textbook 1st ed. 2016 на мрежи од Убуи-а.. Морате само да потражите производ, изаберете начин испоруке приликом одјављивања и да га испоручите на вашу локацију.
  • Pitanje: Да ли је Recommender Systems: The Textbook 1st ed. 2016 доступан за онлајн куповину у Serbia?

    Odgovor: Да, у Убуи Serbia овај производ је доступан за куповину по разумној цени.. Recommender Systems: The Textbook 1st ed. 2016 није доступан локално, али можете нам веровати у наше услуге експресне испоруке.
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Intelligence & Semantics Editorial Review

The "Recommender Systems: The Textbook 1st ed. 2016 Edition" is an excellent and comprehensive resource for the intermediate study of the taxonomy of recommender systems. The content is well-organized, and the Pros and Cons of each system are weighed appropriately. The text gives ample discussion on common pitfalls and enlightens on essential algorithms and mathematics that power recommendation engines. Customers appreciate that the author points out subtle details that are helpful in building recommendation systems. The book has given some customers enough insight to build sophisticated recommendation engines. It is not recommended for those looking for a state-of-the-art recommendation system, but it is an excellent reference for building custom recommendation engines. The writing is clear and accessible, and the book does not get into specific languages and frameworks.

Customer Reviews & Ratings

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Прос

  • Comprehensive and accessible resource for intermediate study
  • Well-organized content
  • Weighs Pros and Cons of each system appropriately
  • Enlightens on essential algorithms and mathematics that power recommendation engines
  • Clear and accessible writing
  • Helpful for building custom recommendation engines

Цонс

  • Not recommended for those seeking state-of-the-art recommendation systems

Product Price History

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