Social Network Based Recommender Systems is popular PDF and ePub book, written by Daniel Schall in 2015-09-23, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Social Network Based Recommender Systems can be Read Online from any device for your convenience.
Social Network Based Recommender Systems Book PDF Summary
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. Social Network-Based Recommender Systems is designed as a reference for professionals and researchers working in social network analysis and companies working on recommender systems. Advanced-level students studying computer science, statistics or mathematics will also find this books useful as a secondary text.
Detail Book of Social Network Based Recommender Systems PDF
- Author : Daniel Schall
- Release : 23 September 2015
- Publisher : Springer
- ISBN : 9783319227351
- Genre : Computers
- Total Page : 139 pages
- Language : English
- PDF File Size : 10,5 Mb
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