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Social Network-Based Recommender Systems
Daniel Schall
€ 62.06
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Description for Social Network-Based Recommender Systems
Hardback. Social Network-Based Recommender Systems Num Pages: 126 pages, biography. BIC Classification: J; PBV; UNH. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 10. Weight in Grams: 380.
This book introduces novel techniques and algorithms necessary to support the formation of social networks. Concepts such as link prediction, graph patterns, recommendation systems based on user reputation, strategic partner selection, collaborative systems and network formation based on ‘social brokers’ are presented. Chapters cover a wide range of models and algorithms, including graph models and a personalized PageRank model. Extensive experiments and scenarios using real world datasets from GitHub, Facebook, Twitter, Google Plus and the European Union ICT research collaborations serve to enhance reader understanding of the material with clear applications. Each chapter concludes with an analysis and detailed summary. ... Read more
This book introduces novel techniques and algorithms necessary to support the formation of social networks. Concepts such as link prediction, graph patterns, recommendation systems based on user reputation, strategic partner selection, collaborative systems and network formation based on ‘social brokers’ are presented. Chapters cover a wide range of models and algorithms, including graph models and a personalized PageRank model. Extensive experiments and scenarios using real world datasets from GitHub, Facebook, Twitter, Google Plus and the European Union ICT research collaborations serve to enhance reader understanding of the material with clear applications. Each chapter concludes with an analysis and detailed summary. ... Read more
Product Details
Format
Hardback
Publication date
2015
Publisher
Springer International Publishing AG Switzerland
Number of pages
126
Condition
New
Number of Pages
126
Place of Publication
Cham, Switzerland
ISBN
9783319227344
SKU
V9783319227344
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
Reviews for Social Network-Based Recommender Systems
“The book is quite brief. It contains a lot of rather technical information concentrated around particular topics. … I highly recommend this book to students, professionals, experts, and others interested in the potential of recommendations taking place within social networks.” (P. Navrat, Computing Reviews, computingreviews.com, June, 2016)