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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,...
| Clasificación: | Libro Electrónico |
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| Otros Autores: | , , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Stevenage :
IET,
2019.
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| Colección: | Professional applications of computing series ;
35. |
| Temas: | |
| Acceso en línea: | Texto completo |
| Sumario: | 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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| Descripción Física: | 1 online resource (536 pages) |
| Bibliografía: | Includes bibliographical references and index. |
| ISBN: | 9781785619786 1785619780 1523127252 9781523127252 |