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Автор: Daniel Schall
Название: Social Network-Based Recommender Systems
Издательство: Springer
Год: 2015
ISBN: 9783319227344
Язык: English
Формат: pdf
Размер: 5,6 mb
Страниц: 126
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.
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Автор: daromir 27-12-2017, 22:27 | Напечатать
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