Big Data Recommender Systems - Volume 2 : Application Paradigms / Osman Khalid; Samee U. Khan; Albert Y. Zomaya [Eds].

Format:

• Book

Contributor:

• Khalid, Osman, editor.
• Khan, Samee U., editor.
• Zomaya, Albert Y., editor.

Series:

• Computing.
• Computing

Language:

English

Physical Description:

1 online resource (536 pages).

Place of Publication:

Stevenage : IET, 2019.

System Details:

text file

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.

ISBN:

9781785619786

Access Restriction:

Restricted for use by site license.