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Social Network-Based Recommender Systems / / by Daniel Schall



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Autore: Schall Daniel Visualizza persona
Titolo: Social Network-Based Recommender Systems / / by Daniel Schall Visualizza cluster
Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Edizione: 1st ed. 2015.
Descrizione fisica: 1 online resource (139 p.)
Disciplina: 004
Soggetto topico: Application software
Graph theory
Information Systems Applications (incl. Internet)
Graph Theory
Computer Appl. in Social and Behavioral Sciences
Note generali: Description based upon print version of record.
Nota di bibliografia: Includes bibliographical references at the end of each chapters.
Nota di contenuto: Overview of Social Recommender Systems -- Link Prediction for Directed Graphs -- Follow Recommendation in Communities -- Partner Recommendation -- Social Broker Recommendation -- Conclusion.
Sommario/riassunto: 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.
Titolo autorizzato: Social Network-Based Recommender Systems  Visualizza cluster
ISBN: 3-319-22735-1
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910299200303321
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