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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| Other Authors | , , |
|---|---|
| Format | Electronic eBook |
| Language | English |
| Published |
Stevenage :
IET,
2019.
|
| Series | Professional applications of computing series ;
35. |
| Subjects | |
| Online Access | Full text |
| ISBN | 9781785619786 1785619780 1523127252 9781523127252 9781785619779 1785619772 |
| Physical Description | 1 online resource (536 pages) |
Cover
| 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. |
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| 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 |
| Physical Description: | 1 online resource (536 pages) |