Social Network-Based Recommender Systems
Autor Daniel Schallen Limba Engleză Hardback – oct 2015
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Specificații
ISBN-13: 9783319227344
ISBN-10: 3319227343
Pagini: 126
Ilustrații: XIII, 126 p.
Dimensiuni: 155 x 235 x 17 mm
Greutate: 0.38 kg
Ediția:1st ed. 2015
Editura: Springer International Publishing
Colecția Springer
Locul publicării:Cham, Switzerland
ISBN-10: 3319227343
Pagini: 126
Ilustrații: XIII, 126 p.
Dimensiuni: 155 x 235 x 17 mm
Greutate: 0.38 kg
Ediția:1st ed. 2015
Editura: Springer International Publishing
Colecția Springer
Locul publicării:Cham, Switzerland
Public țintă
ResearchCuprins
Overview of Social Recommender Systems.- Link Prediction for Directed Graphs.- Follow Recommendation in Communities.- Partner Recommendation.- Social Broker Recommendation.- Conclusion.
Recenzii
“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)
Caracteristici
Introduces novel concepts and techniques about the formation of social networks and each chapter concludes with an analysis and summary Provides real world datasets from GitHub, Facebook, Twitter, Google Plus, and the European Union ICT research collaborations Presents a range of mathematical models, ranking algorithms, software frameworks and datasets