Springerbriefs in electrical and computer engineering - 9781493902859 - recommender systems for location-based social networks (springerbriefs in electrical and computer engineering) von symeonidis, panagiotis; ntempos, dimitrios; manolopoulos, yannis (7 Ergebnisse)
Sprache: Englisch
Verlag: Springer, 2014
Serie: Buch 49 von 209 - SpringerBriefs in Electrical and Computer Engineering
- Softcover
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Recommender Systems for Location-based Social Networks (SpringerBriefs in Electrical and Computer Engineering)
Symeonidis, Panagiotis; Ntempos, Dimitrios; Manolopoulos, Yannis
Sprache: Englisch
Verlag: Springer, 2014
Serie: Buch 49 von 209 - SpringerBriefs in Electrical and Computer Engineering
- Softcover
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Recommender Systems for Location-based Social Networks
Symeonidis, Panagiotis/ Ntempos, Dimitrios/ Manolopoulos, Yannis
Sprache: Englisch
Verlag: Springer-Verlag New York Inc, 2014
Serie: Buch 49 von 209 - SpringerBriefs in Electrical and Computer Engineering
- Softcover
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Paperback. Zustand: Brand New. 108 pages. 9.00x6.00x0.25 inches. In Stock.
Sprache: Englisch
Verlag: Springer, Springer, 2014
Serie: Buch 49 von 209 - SpringerBriefs in Electrical and Computer Engineering
- Softcover
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Online social networks collect information from users' social contacts and their daily interactions (co-tagging of photos, co-rating of products etc.) to provide them with recommendations of new products or friends. Lately, technological progressions… in mobile devices (i.e. smart phones) enabled the incorporation of geo-location data in the traditional web-based online social networks, bringing the new era of Social and Mobile Web. The goal of this book is to bring together important research in a new family of recommender systems aimed at serving Location-based Social Networks (LBSNs). The chapters introduce a wide variety of recent approaches, from the most basic to the state-of-the-art, for providing recommendations in LBSNs.The book is organized into three parts. Part 1 provides introductory material on recommender systems, online social networks and LBSNs. Part 2 presents a wide variety of recommendation algorithms, ranging from basic to cutting edge, as well as a comparison of the characteristics of these recommender systems. Part 3 provides a step-by-step case study on the technical aspects of deploying and evaluating a real-world LBSN, which provides location, activity and friend recommendations. The material covered in the book is intended for graduate students, teachers, researchers, and practitioners in the areas of web data mining, information retrieval, and machine learning.
Sprache: Englisch
Verlag: Springer New York, 2014
Serie: Buch 49 von 209 - SpringerBriefs in Electrical and Computer Engineering
- Softcover
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Weitere BilderSprache: Englisch
Verlag: Springer, 2014
Serie: Buch 49 von 209 - SpringerBriefs in Electrical and Computer Engineering
- Softcover
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Taschenbuch. Zustand: Neu. Recommender Systems for Location-based Social Networks | Panagiotis Symeonidis (u. a.) | Taschenbuch | SpringerBriefs in Electrical and Computer Engineering | v | Englisch | 2014 | Springer | EAN 9781493902859 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelber…g, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Recommender Systems for Location-based Social Networks
Panagiotis Symeonidis, Yannis Manolopoulos, Dimitrios Ntempos
Sprache: Englisch
Verlag: Springer New York, 2014
Serie: Buch 49 von 209 - SpringerBriefs in Electrical and Computer Engineering
- Softcover
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Zustand: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | Online social networks collect information from users' social contacts and their daily interactions (co-tagging of photos, co-rating of products etc.) to provide them with recommendations of new products or friends. Lately, technological progressions… in mobile devices (i.e. smart phones) enabled the incorporation of geo-location data in the traditional web-based online social networks, bringing the new era of Social and Mobile Web. The goal of this book is to bring together important research in a new family of recommender systems aimed at serving Location-based Social Networks (LBSNs). The chapters introduce a wide variety of recent approaches, from the most basic to the state-of-the-art, for providing recommendations in LBSNs.The book is organized into three parts. Part 1 provides introductory material on recommender systems, online social networks and LBSNs. Part 2 presents a wide variety of recommendation algorithms, ranging from basic to cutting edge, as well as a comparison of the characteristics of these recommender systems. Part 3 provides a step-by-step case study on the technical aspects of deploying and evaluating a real-world LBSN, which provides location, activity and friend recommendations. The material covered in the book is intended for graduate students, teachers, researchers, and practitioners in the areas of web data mining, information retrieval, and machine learning.
