Coverart for item
The Resource Recommender systems for location-based social networks, Panagiotis Symeonidis (Department of Informatics Data Engineering Laboratory, Aristotle University of Thessaloniki, Stavroupoli, Thessaloniki, Greece), Dimitrios Ntempos (Kiwe Development, Kalamaria, Thessaloniki, Greece), Yannis Manolopoulos (Department of Informatics Data Engineering Lab, Aristotle University of Thessaloniki, Stavroupoli, Thessaloniki, Greece)

Recommender systems for location-based social networks, Panagiotis Symeonidis (Department of Informatics Data Engineering Laboratory, Aristotle University of Thessaloniki, Stavroupoli, Thessaloniki, Greece), Dimitrios Ntempos (Kiwe Development, Kalamaria, Thessaloniki, Greece), Yannis Manolopoulos (Department of Informatics Data Engineering Lab, Aristotle University of Thessaloniki, Stavroupoli, Thessaloniki, Greece)

Label
Recommender systems for location-based social networks
Title
Recommender systems for location-based social networks
Statement of responsibility
Panagiotis Symeonidis (Department of Informatics Data Engineering Laboratory, Aristotle University of Thessaloniki, Stavroupoli, Thessaloniki, Greece), Dimitrios Ntempos (Kiwe Development, Kalamaria, Thessaloniki, Greece), Yannis Manolopoulos (Department of Informatics Data Engineering Lab, Aristotle University of Thessaloniki, Stavroupoli, Thessaloniki, Greece)
Creator
Contributor
Author
Subject
Language
eng
Summary
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. --
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Assigning source
Edited summary from book
Cataloging source
CtWfDGI
Illustrations
illustrations
Index
no index present
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
Series statement
SpringerBriefs in electrical and computer engineering
Recommender systems for location-based social networks, Panagiotis Symeonidis (Department of Informatics Data Engineering Laboratory, Aristotle University of Thessaloniki, Stavroupoli, Thessaloniki, Greece), Dimitrios Ntempos (Kiwe Development, Kalamaria, Thessaloniki, Greece), Yannis Manolopoulos (Department of Informatics Data Engineering Lab, Aristotle University of Thessaloniki, Stavroupoli, Thessaloniki, Greece)
Label
Recommender systems for location-based social networks, Panagiotis Symeonidis (Department of Informatics Data Engineering Laboratory, Aristotle University of Thessaloniki, Stavroupoli, Thessaloniki, Greece), Dimitrios Ntempos (Kiwe Development, Kalamaria, Thessaloniki, Greece), Yannis Manolopoulos (Department of Informatics Data Engineering Lab, Aristotle University of Thessaloniki, Stavroupoli, Thessaloniki, Greece)
Publication
Copyright
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Bibliography note
Includes bibliographical references
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
mixed
Content category
text
Content type code
txt
Content type MARC source
rdacontent
http://library.link/vocab/cover_art
https://contentcafe2.btol.com/ContentCafe/Jacket.aspx?Return=1&Type=S&Value=9781493902866&userID=ebsco-test&password=ebsco-test
Dimensions
unknown
http://library.link/vocab/discovery_link
{'f': 'http://opac.lib.rpi.edu/record=b4359207'}
Extent
1 online resource (v, 108 pages)
Form of item
online
Isbn
9781493902866
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other physical details
illustrations
Specific material designation
remote

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      42.729766 -73.682577
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