ISBN: 9786207997312 - concept of deep collaborative recommender system: recommender system with deep learning (10 risultati)

Condizione: New.

Condizione: New.

Taschenbuch. Condizione: Neu. Concept of Deep Collaborative Recommender System | Recommender System with Deep Learning | Gopal Behera (u. a.) | Taschenbuch | Englisch | 2024 | LAP LAMBERT Academic Publishing | EAN 9786207997312 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.…

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

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

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 140 pp. Englisch.

Condizione: New. Print on Demand.

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book comprehensively covers the topic of recommender systems (RS), which provide personalized recommendations of items or services to new users based on their past behavior. Recommender system methods have been adapted to diverse applications, including movie recommendations. This book synthesizes fundamental and advanced topics in the research area of RS. An the industry point of view, an individual item or product recommendation system can help develop better sales. Chapter 1 discusses the basic concept of recommender systems. Chapter 2 provides insight into various work done by researchers. Chapter 3 discusses both memory and modeling along with grid search optimization techniques of RS. Chapter 4 deals with the deep learning approach of RS to overcoming issues of traditional RS. Chapter 6 Insights into the future research scope of RS.…

Condizione: New. PRINT ON DEMAND.

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book comprehensively covers the topic of recommender systems (RS), which provide personalized recommendations of items or services to new users based on their past behavior. Recommender system methods have been adapted to diverse applications, including movie recommendations. This book synthesizes fundamental and advanced topics in the research area of RS. An the industry point of view, an individual item or product recommendation system can help develop better sales. Chapter 1 discusses the basic concept of recommender systems. Chapter 2 provides insight into various work done by researchers. Chapter 3 discusses both memory and modeling along with grid search optimization techniques of RS. Chapter 4 deals with the deep learning approach of RS to overcoming issues of traditional RS. Chapter 6 Insights into the future research scope of RS.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 140 pp. Englisch.…