Big Data Recommender Systems – Volume 1: Algorithms, Architectures, Big Data, Security and Trust


Big Data Recommender Systems: Algorithms, Architectures, Big Data, Security and Trust (Computing and Networks)
By 作者: Osman Khalid
ISBN-10 书号: 1785619756
ISBN-13 书号: 9781785619755
Release Finelybook 出版日期: 2019-08-29
pages 页数: (368 )

Book Description to Finelybook sorting
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 23 chapters.


1Introduction to big data recommender systems-
volume 1
2Theoretical foundations for recommender systems
3Benchmarking big data recommendation algorithms
using Hadoop orApache Spark
4Efficient and socio-aware recommendation approaches
for bigdata networked systems
5Novel hybrid approaches for big data
6Deep generative models for recommender systems
7 Recommendation algorithms for unstructured big data
such as text,audio,image and video
8 Deep segregation of plastic(DSP):segregation of
plastic and nonplastic using deep learning
9 Spatiotemporal recommendation with big geo-social
networking data
10 Recommender system for predicting malicious
Android applications
11 Security threats and their mitigation in big data
recommender systems
12 User’s privacy in recommendation systems applying
online social network data:a survey and taxonomy
13Private entity resolution for big data on Apache Spark
using multiple phonetic codes
14Deep learning architecture for big data analytics in
detecting intrusions and malicious URL
Back Cover


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