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portada Social Network-Based Recommender Systems
Type
Physical Book
Author
Publisher
Language
English
Pages
126
Format
Paperback
Dimensions
23.4 x 15.6 x 0.8 cm
Weight
0.21 kg.
ISBN13
9783319372297
Categories

Social Network-Based Recommender Systems

Daniel Schall (Author) · Springer · Paperback

Social Network-Based Recommender Systems - Schall, Daniel

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Synopsis "Social Network-Based Recommender Systems"

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.

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