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gRecs: A Group Recommendation System Based on User Clustering

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Book cover Database Systems for Advanced Applications (DASFAA 2012)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7239))

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Abstract

In this demonstration paper, we present gRecs, a system for group recommendations that follows a collaborative strategy. We enhance recommendations with the notion of support to model the confidence of the recommendations. Moreover, we propose partitioning users into clusters of similar ones. This way, recommendations for users are produced with respect to the preferences of their cluster members without extensively searching for similar users in the whole user base. Finally, we leverage the power of a top-k algorithm for locating the top-k group recommendations.

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References

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Author information

Authors and Affiliations

  1. Institute for Informatics, Ludwig Maximilian University, Munich, Germany

    Irene Ntoutsi & Hans-Peter Kriegel

  2. Department of Computer and Information Science, Norwegian University of Science and Technology, Trondheim, Norway

    Kostas Stefanidis & Kjetil Norvag

Authors
  1. Irene Ntoutsi
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  2. Kostas Stefanidis
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  3. Kjetil Norvag
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  4. Hans-Peter Kriegel
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Editor information

Editors and Affiliations

  1. School of Computer Science and Engineering, Seoul National University, Gwanak-ro, Gwanak-gu, 151747, Seoul, South Korea

    Sang-goo Lee

  2. Computer School, Wuhan University, Luo-jia-shan, Wuchang, 430081, Wuhan, Hubei Province, China

    Zhiyong Peng

  3. School of Information Technology and Electrical Engineering, University of Queensland, 4072, Brisbane, QLD, Australia

    Xiaofang Zhou

  4. Department of Computer Science, Kangwon National University, 192-1, Hyoja2-Dong, 200701, Chuncheon, Kangwon, South Korea

    Yang-Sae Moon

  5. Institute for Computer Science and Business Information, University of Duisburg-Essen, Schützenbahn 70, 45117, Essen, Germany

    Rainer Unland

  6. School of Information and Communication Engineering, Chungbuk National University, 52 Naesudong-ro, Heungdeok-gu, 4072, Cheongju, Chungbuk, South Korea

    Jaesoo Yoo

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© 2012 Springer-Verlag Berlin Heidelberg

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Ntoutsi, I., Stefanidis, K., Norvag, K., Kriegel, HP. (2012). gRecs: A Group Recommendation System Based on User Clustering. In: Lee, Sg., Peng, Z., Zhou, X., Moon, YS., Unland, R., Yoo, J. (eds) Database Systems for Advanced Applications. DASFAA 2012. Lecture Notes in Computer Science, vol 7239. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29035-0_25

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  • DOI: https://doi.org/10.1007/978-3-642-29035-0_25

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-29034-3

  • Online ISBN: 978-3-642-29035-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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