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

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

9781785619755

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