Recommender Systems in Computer Science and Information Systems – A Landscape of Research

  • Dietmar Jannach
  • Markus Zanker
  • Mouzhi Ge
  • Marian Gröning
Part of the Lecture Notes in Business Information Processing book series (LNBIP, volume 123)


The paper reviews and classifies recent research in recommender systems both in the field of Computer Science and Information Systems. The goal of this work is to identify existing trends, open issues and possible directions for future research. Our analysis is based on a review of 330 papers on recommender systems, which were published in high-impact conferences and journals during the past five years (2006-2011). We provide a state-of-the-art review on recommender systems, propose future research opportunities for recommender systems in both computer science and information system community, and indicate how the research avenues of both communities might partly converge.


Computer Science Recommender System Information System Normalize Discount Cumulate Gain Computer Science Research 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Dietmar Jannach
    • 1
  • Markus Zanker
    • 2
  • Mouzhi Ge
    • 3
  • Marian Gröning
    • 1
  1. 1.TU DortmundDortmundGermany
  2. 2.Alpen-Adria-Universität KlagenfurtKlagenfurtAustria
  3. 3.Bundeswehr University MunichNeubibergGermany

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