Big data recommender systems (33 résultats)

Etat : Good. Has some wear and creases. Has a remainder mark. hardcover Used - Good 2019.

Etat : Very Good. Good shape with typical wear. Has a remainder mark. hardcover Used - Very Good 2019.

Etat : New.

Hardback. Etat : New. First designed to generate personalized recommendations to users in the 90s, recommender systems apply knowledge discovery techniques to users' data to suggest information, products, and services that best match their preferences. In recent decades, we have seen an exponential increase in the volumes of data, which has introduced many new challenges. Divided into two volumes, this comprehensive set covers recent advances, challenges, novel solutions, and applications in big data recommender systems. Volume 1 contains 14 chapters addressing foundations, algorithms and architectures, approaches for big data, and trust and security measures. Volume 2 covers a broad range of application paradigms for recommender systems over 22 chapters.…

Etat : New.

Etat : As New. Unread book in perfect condition.

Etat : As New. Unread book in perfect condition.

Etat : As New. Unread book in perfect condition.

Etat : New.

HRD. Etat : Used - Very Good. Used - Like New Book. Shipped from UK. Established seller since 2000.

HRD. Etat : Used - Very Good. Used - Like New Book. Shipped from UK. Established seller since 2000.

Etat : New. In English.

Etat : As New. Unread book in perfect condition.

Etat : New.

Etat : New. In English.

Etat : New.

Hardback. Etat : New. First designed to generate personalized recommendations to users in the 90s, recommender systems apply knowledge discovery techniques to users' data to suggest information, products, and services that best match their preferences. In recent decades, we have seen an exponential increase in the volumes of data, which has introduced many new challenges. Divided into two volumes, this comprehensive set covers recent advances, challenges, novel solutions, and applications in big data recommender systems. Volume 1 contains 14 chapters addressing foundations, algorithms and architectures, approaches for big data, and trust and security measures. Volume 2 covers a broad range of application paradigms for recommender systems over 22 chapters.…

Hardcover. Etat : Brand New. 331 pages. 9.21x6.14x1.02 inches. In Stock.

Hardcover. Etat : Brand New. 494 pages. 9.25x6.25x1.25 inches. In Stock.

Hardcover. Etat : New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Etat : New. Inhaltsverzeichnisrnrnn Chapter 1: Introduction to big data recommender systems - volume 1n Chapter 2: Theoretical foundations for recommender systemsn Chapter 3: Benchmarking big data recommendation algorithms using Ha.

Etat : Hervorragend. Zustand: Hervorragend | Seiten: 520 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.

Etat : Sehr gut. Zustand: Sehr gut | Seiten: 520 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.

Etat : Hervorragend. Zustand: Hervorragend | Seiten: 368 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.

Etat : New. Inhaltsverzeichnisrnrnn Chapter 1: Introduction to big data recommender systems - volume 2n Chapter 2: Deep neural networks meet recommender systemsn Chapter 3: Cold-start solutions for recommendation systemsn .

Buch. Etat : Neu. Neuware - First designed to generate personalized recommendations to users in the 90s, recommender systems apply knowledge discovery techniques to users' data to suggest information, products, and services that best match their preferences. In recent decades, we have seen an exponential increase in the volumes of data, which has introduced many new challenges. Divided into two volumes, this comprehensive set covers recent advances, challenges, novel solutions, and applications in big data recommender systems. Volume 1 contains 14 chapters addressing foundations, algorithms and architectures, approaches for big data, and trust and security measures. Volume 2 covers a broad range of application paradigms for recommender systems over 22 chapters.…

Buch. Etat : Neu. Neuware - First designed to generate personalized recommendations to users in the 90s, recommender systems apply knowledge discovery techniques to users' data to suggest information, products, and services that best match their preferences. In recent decades, we have seen an exponential increase in the volumes of data, which has introduced many new challenges. Divided into two volumes, this comprehensive set covers recent advances, challenges, novel solutions, and applications in big data recommender systems. Volume 2 covers a broad range of application paradigms for recommender systems over 22 chapters. Volume 1 contains 14 chapters addressing foundations, algorithms and architectures, approaches for big data, and trust and security measures.…

HRD. Etat : New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

HRD. Etat : New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Hardback. Etat : New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.