Big data recommender systems. Volume 2, Application paradigms /

The increase in the volumes of data creates new challenges that require novel and more efficient solutions to handle big data and scalability issues. Today we are witnessing advances in many areas that are dependent on recommender systems such as social networks, e-commerce websites, search engines,...

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Bibliographic Details
Other Authors: Khalid, Osman, (Editor), Khan, Samee Ullah, (Editor), Zomaya, Albert Y., (Editor)
Format: eBook
Language: English
Published: Stevenage : IET, 2019.
Series: Professional applications of computing series ; 35.
Subjects:
ISBN: 9781785619786
1785619780
1523127252
9781523127252
9781785619779
1785619772
Physical Description: 1 online resource (536 pages)

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Summary: The increase in the volumes of data creates new challenges that require novel and more efficient solutions to handle big data and scalability issues. Today we are witnessing advances in many areas that are dependent on recommender systems such as social networks, e-commerce websites, search engines, blogs, and sensor networks. Many of these advances are due to the many developments in algorithmics and analytics, wireless networking, Internet of things, high performance computing, and more. Volume 2, Big Data Recommender Systems: Application Paradigms, presents a good overview of the many applications that show the richness of this field and its great potential.
Bibliography: Includes bibliographical references and index.
ISBN: 9781785619786
1785619780
1523127252
9781523127252
9781785619779
1785619772
Access: Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty