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Multimedia Services In Intelligent Environments Advances In Recommender Systems 1st Edition George A Tsihrintzis

  • SKU: BELL-4230656
Multimedia Services In Intelligent Environments Advances In Recommender Systems 1st Edition George A Tsihrintzis
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Multimedia Services In Intelligent Environments Advances In Recommender Systems 1st Edition George A Tsihrintzis instant download after payment.

Publisher: Springer International Publishing
File Extension: PDF
File size: 4.53 MB
Pages: 174
Author: George A. Tsihrintzis, Maria Virvou (auth.), George A. Tsihrintzis, Maria Virvou, Lakhmi C. Jain (eds.)
ISBN: 9783319003719, 9783319003726, 3319003712, 3319003720
Language: English
Year: 2013
Edition: 1

Product desciption

Multimedia Services In Intelligent Environments Advances In Recommender Systems 1st Edition George A Tsihrintzis by George A. Tsihrintzis, Maria Virvou (auth.), George A. Tsihrintzis, Maria Virvou, Lakhmi C. Jain (eds.) 9783319003719, 9783319003726, 3319003712, 3319003720 instant download after payment.

Multimedia services are now commonly used in various activities in the daily lives of humans. Related application areas include services that allow access to large depositories of information, digital libraries, e-learning and e-education, e-government and e-governance, e-commerce and e-auctions, e-entertainment, e-health and e-medicine, and e-legal services, as well as their mobile counterparts (i.e., m-services). Despite the tremendous growth of multimedia services over the recent years, there is an increasing demand for their further development. This demand is driven by the ever-increasing desire of society for easy accessibility to information in friendly, personalized and adaptive environments.

In this book at hand, we examine recent Advances in Recommender Systems. Recommender systems are crucial in multimedia services, as they aim at protecting the service users from information overload. The book includes nine chapters, which present various recent research results in recommender systems.

This research book is directed to professors, researchers, application engineers and students of all disciplines who are interested in learning more about recommender systems, advancing the corresponding state of the art and developing recommender systems for specific applications.

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