Inhaltsangabe
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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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
Verlag:
LAP LAMBERT Academic Publishing Jan 2015, 2015
ISBN 10: 3659684597
ISBN 13: 9783659684593
Neu
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Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
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Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 9783659684593
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Mining User Behavior in Social Environments
Verlag:
LAP LAMBERT Academic Publishing, 2015
ISBN 10: 3659684597
ISBN 13: 9783659684593
Neu
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Zustand: 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. Bestandsnummer des Verkäufers 15939348
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Foto des Verkäufers
Mining User Behavior in Social Environments
Verlag:
LAP LAMBERT Academic Publishing Jan 2015, 2015
ISBN 10: 3659684597
ISBN 13: 9783659684593
Neu
Taschenbuch
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 9783659684593
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Foto des Verkäufers
Mining User Behavior in Social Environments
Verlag:
LAP LAMBERT Academic Publishing, 2015
ISBN 10: 3659684597
ISBN 13: 9783659684593
Neu
Taschenbuch
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 9783659684593
Neu kaufen
EUR 39,90
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EUR 60,96
Von Deutschland nach USA
Anzahl: 1 verfügbar