Big Data Recommender Systems Volume 2 Application Paradigms

English | PDF | 2019 | 520 Pages | ISBN : 1785619772 | 16.13 MB

First designed to generate personalized recommendations to users in the 90s, recommender systems apply knowledge discovery techniques to users’ data to suggest information, products, and services that best match their preferences. In recent decades, we have seen an exponential increase in the volumes of data, which has introduced many new challenges.
Divided into two volumes, this comprehensive set covers recent advances, challenges, novel solutions, and applications in big data recommender systems. Volume 2 covers a broad range of application paradigms for recommender systems over 22 chapters. Volume 1 contains 14 chapters addressing foundations, algorithms and architectures, approaches for big data, and trust and security measures.

🌞 Contents of Download:
📌 1785619772.pdf (Osman Khalid, Samee U. Khan and Albert Y. Zomaya) (2019) (16.13 MB)

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⭐️ Big Data Recommender Systems Volume 2 Application Paradigms ✅ (16.13 MB)
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