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Mining User Behavior in Social Environments | Matteo Manca (u. a.) | Taschenbuch | 116 S. | Englisch | 2015 | LAP LAMBERT Academic Publishing | EAN 9783659684593 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Seller Inventory # 104871255
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.
Title: Mining User Behavior in Social Environments
Publisher: LAP LAMBERT Academic Publishing
Publication Date: 2015
Binding: Taschenbuch
Condition: Neu