Big Data Recommender Systems: Volume 1: Algorithms, Architectures, Big Data, Security and Trust
Original price was: ₹10,770.00.₹8,616.00Current price is: ₹8,616.00.
ISBN: 9781785619755
Author/Editor: Osman Khalid
Publisher: IET
Year: 2019
Available on backorder
Description
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 1 contains 14 chapters addressing foundations, algorithms and architectures, approaches for big data, and trust and security measures. Volume 2 covers a broad range of application paradigms for recommender systems over 22 chapters.
Additional information
| Weight | 0.68 kg |
|---|
Product Properties
| Year of Publication | 2019 |
|---|---|
| Table of Contents | Chapter 1: Introduction to big data recommender systems - volume 1 Chapter 2: Theoretical foundations for recommender systems Chapter 3: Benchmarking big data recommendation algorithms using Hadoop orApache Spark Chapter 4: Efficient and socio-aware recommendation approaches for bigdata networked systems Chapter 5: Novel hybrid approaches for big data recommendations Chapter 6: Deep generative models for recommender systems Chapter 7: Recommendation algorithms for unstructured big data such as text, audio, image and video Chapter 8: Deep segregation of plastic (DSP): segregation of plastic and nonplastic using deep learning Chapter 9: Spatiotemporal recommendation with big geo-social networking data Chapter 10: Recommender system for predicting malicious Android applications Chapter 11: Security threats and their mitigation in big data recommender systems Chapter 12: User's privacy in recommendation systems applying online social network data: a survey and taxonomy Chapter 13: Private entity resolution for big data on Apache Spark using multiple phonetic codes Chapter 14: Deep learning architecture for big data analytics in detecting intrusions and malicious URL |
| Author | Osman Khalid |
| ISBN/ISSN | 9781785619755 |
| Binding | Hardback |
| Edition | 1 |
| Publisher | IET |
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