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FIP-SHA - Finding Individual Profiles Through SHared Accounts

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Database and Expert Systems Applications (DEXA 2021)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12924))

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Abstract

Many recommendation systems rely on users’ account history (such as visited/purchased/classified items) to predict which other items they may be interested in. In practice, family members or friends can share a single account. For this reason, deriving a single user profile from an account’s history can lead to imprecise item suggestions. In this work, we propose to identify individual profiles behind shared accounts to better customize the suggestions of items for the person who is currently logged in. In short, the problem is solved by identifying online sessions on a platform and afterward, clustering these sessions to identify the profiles of the users behind the (potentially) shared account.

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Notes

  1. 1.

    https://gitlab.com/carolinaNery94/accountprofiles-mscproject.

  2. 2.

    https://www.kaggle.com/gspmoreira/news-portal-user-interactions-by-globocom.

  3. 3.

    http://ocelma.net/MusicRecommendationdata set/lastfm-1K.html.

  4. 4.

    https://scikit-learn.org/stable/modules/clustering.html.

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Acknowledgements

This work was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - Brasil (CAPES) - Finance Code 001.

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Authors and Affiliations

  1. Institute of Informatics, Federal University of Rio Grande do Sul, Porto Alegre, Brazil

    Carolina Nery, Renata Galante & Weverton Cordeiro

Authors
  1. Carolina Nery
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  2. Renata Galante
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  3. Weverton Cordeiro
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Corresponding author

Correspondence to Weverton Cordeiro .

Editor information

Editors and Affiliations

  1. University of Vienna, Vienna, Austria

    Christine Strauss

  2. Johannes Kepler University Linz, Linz, Oberösterreich, Austria

    Gabriele Kotsis

  3. Vienna University of Technology, Vienna, Austria

    A Min Tjoa

  4. Johannes Kepler University of Linz, Linz, Austria

    Ismail Khalil

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Nery, C., Galante, R., Cordeiro, W. (2021). FIP-SHA - Finding Individual Profiles Through SHared Accounts. In: Strauss, C., Kotsis, G., Tjoa, A.M., Khalil, I. (eds) Database and Expert Systems Applications. DEXA 2021. Lecture Notes in Computer Science(), vol 12924. Springer, Cham. https://doi.org/10.1007/978-3-030-86475-0_12

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  • DOI: https://doi.org/10.1007/978-3-030-86475-0_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-86474-3

  • Online ISBN: 978-3-030-86475-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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