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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 |
|---|---|
| Otros Autores: | , , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Stevenage :
IET,
2019.
|
| Colección: | Professional applications of computing series ;
35. |
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 245 | 0 | 0 | |a Big data recommender systems. |n Volume 2, |p Application paradigms / |c edited by Osman Khalid, Samee U. Khan and Albert Y. Zomaya. |
| 264 | 1 | |a Stevenage : |b IET, |c 2019. | |
| 264 | 4 | |c ©2019 | |
| 300 | |a 1 online resource (536 pages) | ||
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| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 490 | 1 | |a IET Professional Applications of Computing Series ; |v 35 | |
| 520 | |a 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. | ||
| 588 | 0 | |a Online resource; title from PDF title page (IET, viewed September 19, 2019). | |
| 504 | |a Includes bibliographical references and index. | ||
| 590 | |a Knovel |b ACADEMIC - Software Engineering | ||
| 650 | 0 | |a Recommender systems (Information filtering) | |
| 650 | 0 | |a Big data. | |
| 650 | 6 | |a Systèmes de recommandation (Filtrage d'information) | |
| 650 | 6 | |a Données volumineuses. | |
| 650 | 7 | |a Recommender systems (Information filtering) |2 fast |0 (OCoLC)fst01743365 | |
| 650 | 7 | |a Big data. |2 fast |0 (OCoLC)fst01892965 | |
| 650 | 7 | |a Big Data. |2 inspect | |
| 650 | 7 | |a recommender systems. |2 inspect | |
| 653 | |a application paradigms | ||
| 653 | |a big data recommender systems | ||
| 700 | 1 | |a Khalid, Osman, |e editor. | |
| 700 | 1 | |a Khan, Samee Ullah, |e editor. | |
| 700 | 1 | |a Zomaya, Albert Y., |e editor. | |
| 776 | 0 | 8 | |i Print version: |t Big data recommender systems, volume 2. |d Stevenage: IET, 2019 |z 9781785619779 |
| 830 | 0 | |a Professional applications of computing series ; |v 35. | |
| 856 | 4 | 0 | |u https://appknovel.uam.elogim.com/kn/resources/kpBDRSVAP1/toc |z Texto completo |
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