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  • © 2013

Multimedia Services in Intelligent Environments

Advances in Recommender Systems

  • Recent research on Recommender Systems
  • Focuses on the crucial role of Recommender Systems in Multimedia Services
  • Written by experts in the field

Part of the book series: Smart Innovation, Systems and Technologies (SIST, volume 24)

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Table of contents (9 chapters)

  1. Front Matter

    Pages i-x
  2. Multimedia Services in Intelligent Environments: Advances in Recommender Systems

    • George A. Tsihrintzis, Maria Virvou, Lakhmi C. Jain
    Pages 1-5
  3. A Survey of Approaches to Designing Recommender Systems

    • Aristomenis S. Lampropoulos, George A. Tsihrintzis
    Pages 7-30
  4. Recommender Systems: Network Approaches

    • David Lamb, Martin Randles, Dhiya Al-Jumeily
    Pages 65-79
  5. Toward the Next Generation of Recommender Systems: Applications and Research Challenges

    • Alexander Felfernig, Michael Jeran, Gerald Ninaus, Florian Reinfrank, Stefan Reiterer
    Pages 81-98
  6. Content-Based Recommendation for Stacked-Graph Navigation

    • Alejandro Toledo, Kingkarn Sookhanaphibarn, Ruck Thawonmas, Frank Rinaldo
    Pages 99-113
  7. Pattern Extraction from Graphs and Beyond

    • Hiroshi Sakamoto, Tetsuji Kuboyama
    Pages 115-145

About this book

Multimedia services are now commonly used in various activities in the daily lives of humans. Related application areas include services that allow access to large depositories of information, digital libraries, e-learning and e-education, e-government and e-governance, e-commerce and e-auctions, e-entertainment, e-health and e-medicine, and e-legal services, as well as their mobile counterparts (i.e., m-services). Despite the tremendous growth of multimedia services over the recent years, there is an increasing demand for their further development. This demand is driven by the ever-increasing desire of society for easy accessibility to information in friendly, personalized and adaptive environments.

In this book at hand, we examine recent Advances in Recommender Systems. Recommender systems are crucial in multimedia services, as they aim at protecting the service users from information overload. The book includes nine chapters, which present various recent research results in recommender systems.

This research book is directed to professors, researchers, application engineers and students of all disciplines who are interested in learning more about recommender systems, advancing the corresponding state of the art and developing recommender systems for specific applications.

 

Editors and Affiliations

  • , Department of Informatics, University of Piraeus, Piraeus, Greece

    George A. Tsihrintzis, Maria Virvou

  • , School of Electrical and, University of South Australia, Adelaide, Australia

    Lakhmi C. Jain

Bibliographic Information

  • Book Title: Multimedia Services in Intelligent Environments

  • Book Subtitle: Advances in Recommender Systems

  • Editors: George A. Tsihrintzis, Maria Virvou, Lakhmi C. Jain

  • Series Title: Smart Innovation, Systems and Technologies

  • DOI: https://doi.org/10.1007/978-3-319-00372-6

  • Publisher: Springer Cham

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer International Publishing Switzerland 2013

  • Hardcover ISBN: 978-3-319-00371-9Published: 05 June 2013

  • Softcover ISBN: 978-3-319-03340-2Published: 18 June 2015

  • eBook ISBN: 978-3-319-00372-6Published: 23 May 2013

  • Series ISSN: 2190-3018

  • Series E-ISSN: 2190-3026

  • Edition Number: 1

  • Number of Pages: X, 174

  • Topics: Computational Intelligence, Artificial Intelligence

Buy it now

Buying options

eBook USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access