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Recommender System with Machine Learning and Artif icial Intelligence: Practical Tools and Applicatio ns in Medical, Agricultural and Other Industries (Hardcover)
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Recommender System with Machine Learning and Artif icial Intelligence: Practical Tools and Applicatio ns in Medical, Agricultural and Other Industries (Hardcover)
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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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