Articoli correlati a Trust and Reputation Management Systems: An e-Business...

Trust and Reputation Management Systems: An e-Business Perspective - Brossura

Libro 10 di 15: SpringerBriefs in Information Systems

Trček, Denis

 
9783319623733: Trust and Reputation Management Systems: An e-Business Perspective
Brossura
ISBN 10: 3319623737 ISBN 13: 9783319623733
Casa editrice: Springer, 2017

Sinossi

This book provides an understanding of the core pillars of trust and reputation systems in electronic business settings. It presents the main existing methods and evaluates them from a managerial point of view. The book outlines the necessary technological environment without entangling the reader in too much technical detail. An implementation roadmap on a strategic and tactical level is given as well as guidance on linking trust and reputation management to existing information systems. Existing standards and solutions like recommendation systems, web services, semantic and big data technologies are put into context to prevent subverting efforts using false ratings, faked identities and other security issues. An outlook into recent and future developments completes the book.

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Informazioni sull'autore

Denis Trcek is head of the Chair of Informatics and head of the laboratory of e-media at the University of Ljubljana, Slovenia. His research interest is in electronic business, information security and protection and in pervasive computing.

Dalla quarta di copertina

This book provides an understanding of the core pillars of trust and reputation systems in electronic business settings. It presents the main existing methods and evaluates them from a managerial point of view. The book outlines the necessary technological environment without entangling the reader in too much technical detail. An implementation roadmap on a strategic and tactical level is given as well as guidance on linking trust and reputation management to existing information systems. Existing standards and solutions like recommendation systems, web services, semantic and big data technologies are put into context to prevent subverting efforts using false ratings, faked identities and other security issues. An outlook into recent and future developments completes the book.

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

Editore
Springer
Data di pubblicazione
2017
Lingua
Inglese
ISBN 10 
3319623737
ISBN 13 
9783319623733
Rilegatura
Copertina flessibile
Numero edizione
1
Numero di pagine
100
Contatto del produttore
non disponibile
Persona responsabile
CMN Printpool Inh. Mathis Neumann
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