Social Network-Based Recommender Systems

Daniel Schall (Autor)

Buch | Softcover

XIII, 126 Seiten

2016 | 1. Softcover reprint of the original 1st ed. 2015
Springer International Publishing (Verlag)
978-3-319-37229-7 (ISBN)

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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 alsofind this books useful as a secondary text.

Overview of Social Recommender Systems.- Link Prediction for Directed Graphs.- Follow Recommendation in Communities.- Partner Recommendation.- Social Broker Recommendation.- Conclusion.

"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)

Erscheinungsdatum	19.08.2017
Zusatzinfo	XIII, 126 p.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Gewicht	226 g
Themenwelt	Mathematik / Informatik ► Informatik ► Datenbanken
Themenwelt	Mathematik / Informatik ► Mathematik ► Graphentheorie
Schlagworte	Follow recommendation • Formation patterns • GitHub • graph patterns • link prediction • Multi-criteria ranking • Online Communities • Scientific communities • Social brokers • Social Computing • software development • Structural holes • Time-aware authority ranking • Triadic closeness • virtual organization
ISBN-10	3-319-37229-7 / 3319372297
ISBN-13	978-3-319-37229-7 / 9783319372297
Zustand	Neuware