Big Data Recommender Systems - Volume 1: Algorithms, Architectures, Big Data, Security and Trust
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Published By Institution Of Engineering And Technology

9781785619755, 9781785619762

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Deep segregation of plastic (DSP): segregation of plastic and nonplastic using deep learning

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

10.1049/pbpc035f_ch8 ◽

2019 ◽

pp. 169-191

Author(s):

K. Sreelakshmi ◽

R. Vinayakumar ◽

K. P. Soman

Keyword(s):

Deep Learning

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Benchmarking big data recommendation algorithms using Hadoop orApache Spark

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

10.1049/pbpc035f_ch3 ◽

2019 ◽

pp. 27-40

Author(s):

Dinesh Kumar Saini ◽

Kashif Zia ◽

Arshad Muhammad

Keyword(s):

Big Data ◽

Recommendation Algorithms

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Introduction to big data recommender systems — volume 1

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

10.1049/pbpc035f_ch1 ◽

2019 ◽

pp. 1-7

Author(s):

Osman Khalid ◽

Faisal Rehman ◽

Samee U. Khan ◽

Albert Y. Zomaya

Keyword(s):

Big Data ◽

Recommender Systems

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User's privacy in recommendation systems applying online social network data: a survey and taxonomy

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

10.1049/pbpc035f_ch12 ◽

2019 ◽

pp. 259-282 ◽

Cited By ~ 1

Author(s):

Erfan Aghasian ◽

Saurabh Garg ◽

James Montgomery

Keyword(s):

Social Network ◽

Online Social Network ◽

Recommendation Systems ◽

Network Data ◽

Social Network Data

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Spatiotemporal recommendation with big geo-social networking data

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

10.1049/pbpc035f_ch9 ◽

2019 ◽

pp. 193-224

Author(s):

Weiqing Wang ◽

Hongzhi Yin

Keyword(s):

Social Networking

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Deep generative models for recommender systems

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

10.1049/pbpc035f_ch6 ◽

2019 ◽

pp. 111-132

Author(s):

Vineeth Rakesh ◽

Suhang Wang ◽

Huan Liu

Keyword(s):

Recommender Systems ◽

Generative Models

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Novel hybrid approaches for big data recommendations

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

10.1049/pbpc035f_ch5 ◽

2019 ◽

pp. 71-109

Author(s):

Abdul Kader Saiod ◽

Darelle van Greunen

Keyword(s):

Big Data ◽

Hybrid Approaches

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Front Matter

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

10.1049/pbpc035f_fm ◽

2019 ◽

Download Full-text

Recommendation algorithms for unstructured big data such as text, audio, image and video

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

10.1049/pbpc035f_ch7 ◽

2019 ◽

pp. 133-168

Author(s):

Madjid Khalilian ◽

MahshidAlsadat Ehsaei ◽

Saloomeh Taheri Fard

Keyword(s):

Big Data ◽

Recommendation Algorithms

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Efficient and socio-aware recommendation approaches for bigdata networked systems

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

10.1049/pbpc035f_ch4 ◽

2019 ◽

pp. 41-70

Author(s):

Vasileios Karyotis ◽

Margarita Vitoropoulou ◽

Nikos Kalatzis ◽

Ioanna Roussaki ◽

Symeon Papavassiliou

Keyword(s):

Networked Systems

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Big Data Recommender Systems - Volume 1: Algorithms, Architectures, Big Data, Security and TrustLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Institution Of Engineering And Technology

Deep segregation of plastic (DSP): segregation of plastic and nonplastic using deep learning

Benchmarking big data recommendation algorithms using Hadoop orApache Spark

Introduction to big data recommender systems — volume 1

User's privacy in recommendation systems applying online social network data: a survey and taxonomy

Spatiotemporal recommendation with big geo-social networking data

Deep generative models for recommender systems

Novel hybrid approaches for big data recommendations

Front Matter

Recommendation algorithms for unstructured big data such as text, audio, image and video

Efficient and socio-aware recommendation approaches for bigdata networked systems

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