Recommender System with Machine Learning and Artificial Intelligence: Practical Tools and Applications in Medical, Agricultural and Other Industries


Recommender System with Machine Learning and Artificial Intelligence: Practical Tools and Applications in Medical, Agricultural and Other Industries
By 作者:Sachi Nandan Mohanty (Editor), Jyotir Moy Chatterjee (Editor), Sarika Jain (Editor), Ahmed A. Elngar (Editor), Priya Gupta (Editor)
pages 页数: 448 pages
Publisher Finelybook 出版社: Wiley-Scrivener; 1 edition (1 Sept. 2020)
Language 语言: English
ISBN-10 书号:1119711576
ISBN-13 书号:9781119711575
The Book Description robot was collected from Amazon and arranged by Finelybook
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


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