Recommender System with Machine Learning and Artificial Intelligence

Practical Tools and Applications in Medical, Agricultural and Other Industries

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Éditeur :

Wiley-Scrivener


Paru le : 2020-07-16



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Description

This book is a multi-disciplinary effort that involves world-wide experts from diverse fields, such as artificial intelligence, human computer interaction, information technology, data mining, statistics, adaptive user interfaces, decision support systems, marketing, and consumer behavior.  It comprehensively covers the topic of recommender systems, which provide personalized recommendations of items or services to the new users based on their past behavior.  Recommender system methods have been adapted to diverse applications including social networking, movie recommendation, query log mining, news recommendations, and computational advertising.
This book synthesizes both fundamental and advanced topics of a research area that has now reached maturity. Recommendations in agricultural or healthcare domains and contexts, the context of a recommendation can be viewed as important side information that affects the recommendation goals. Different types of context such as temporal data, spatial data, social data, tagging data, and trustworthiness are explored. This book illustrates how this technology can support the user in decision-making, planning and purchasing processes in agricultural & healthcare sectors.
Pages
448 pages
Collection
n.c
Parution
2020-07-16
Marque
Wiley-Scrivener
EAN papier
9781119711575
EAN PDF
9781119711599

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
448
Taille du fichier
15483 Ko
Prix
230,99 €
EAN EPUB
9781119711605

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
448
Taille du fichier
10404 Ko
Prix
230,99 €

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