Sinossi
The growth of the Web 2.0 has brought to a widespread use of social media systems and to an increasing number of active users. This phenomenon implies that each user interacts with too many users and is overwhelmed by a huge amount of content, leading to the well know "social interaction overload" problem. In order to address this problem several research communities study Social Recommender Systems, which are information filtering systems that operate in the social media domain and aim at suggesting to the users items that are supposed to be interesting for them. This book proposes some social recommendation approaches based on the mining of the user behavior, i.e., on the exploitation of the activity of the users in social environments, in order to produce accurate and up-to-date recommendations.
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Mining User Behavior in Social Environments
Editore:
LAP LAMBERT Academic Publishing Jan 2015, 2015
ISBN 10: 3659684597
ISBN 13: 9783659684593
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The growth of the Web 2.0 has brought to a widespread use of social media systems and to an increasing number of active users. This phenomenon implies that each user interacts with too many users and is overwhelmed by a huge amount of content, leading to the well know social interaction overload problem. In order to address this problem several research communities study Social Recommender Systems, which are information filtering systems that operate in the social media domain and aim at suggesting to the users items that are supposed to be interesting for them. This book proposes some social recommendation approaches based on the mining of the user behavior, i.e., on the exploitation of the activity of the users in social environments, in order to produce accurate and up-to-date recommendations. 116 pp. Englisch. Codice articolo 9783659684593
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Mining User Behavior in Social Environments
Editore:
LAP LAMBERT Academic Publishing, 2015
ISBN 10: 3659684597
ISBN 13: 9783659684593
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Da: moluna, Greven, Germania
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Manca MatteoMatteo Manca earned his Ph.D. in CS from the University of Cagliari in May 2014. His interests include Social Recommender Systems and Machine Learning. Ludovico Boratto is a postdoc of the University of Cagliari. His inte. Codice articolo 15939348
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Mining User Behavior in Social Environments
Editore:
LAP LAMBERT Academic Publishing Jan 2015, 2015
ISBN 10: 3659684597
ISBN 13: 9783659684593
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The growth of the Web 2.0 has brought to a widespread use of social media systems and to an increasing number of active users. This phenomenon implies that each user interacts with too many users and is overwhelmed by a huge amount of content, leading to the well know ¿social interaction overload¿ problem. In order to address this problem several research communities study Social Recommender Systems, which are information filtering systems that operate in the social media domain and aim at suggesting to the users items that are supposed to be interesting for them. This book proposes some social recommendation approaches based on the mining of the user behavior, i.e., on the exploitation of the activity of the users in social environments, in order to produce accurate and up-to-date recommendations.Books on Demand GmbH, Überseering 33, 22297 Hamburg 116 pp. Englisch. Codice articolo 9783659684593
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Mining User Behavior in Social Environments
Editore:
LAP LAMBERT Academic Publishing, 2015
ISBN 10: 3659684597
ISBN 13: 9783659684593
Nuovo
Taschenbuch
Da: AHA-BUCH GmbH, Einbeck, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The growth of the Web 2.0 has brought to a widespread use of social media systems and to an increasing number of active users. This phenomenon implies that each user interacts with too many users and is overwhelmed by a huge amount of content, leading to the well know social interaction overload problem. In order to address this problem several research communities study Social Recommender Systems, which are information filtering systems that operate in the social media domain and aim at suggesting to the users items that are supposed to be interesting for them. This book proposes some social recommendation approaches based on the mining of the user behavior, i.e., on the exploitation of the activity of the users in social environments, in order to produce accurate and up-to-date recommendations. Codice articolo 9783659684593
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