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EuroSymposium on Systems Analysis and Design

SIGSAND/PLAIS 2019: Information Systems: Research, Development, Applications, Education pp 105–118Cite as

Privacy Concerns and Remedies in Mobile Recommender Systems (MRSs)

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Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 359))

Abstract

A mobile recommender (or recommendation) system (MRS) is a type of recommendation system that generates recommendations for mobile users in a mobile Internet environment. An MRS collects users’ information through users’ mobile devices via inbuilt sensors, installed mobile apps, running applications, past records etc. Although collecting such data enables MRSs to construct better user profiles and provide accurate recommendations, it also infringes users’ privacy. This study intends to provide a comprehensive review of privacy concerns associated with data collection in MRSs. This study makes three important contributions. First, it synthesizes the literature on sources of data collection in MRSs. Second, it provides insights into privacy concerns associated with data collection in MRSs. Third, it offers insights into how these privacy issues can be addressed.

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Author information

Authors and Affiliations

  1. Virginia Commonwealth University, Richmond, USA

    Ramandeep Kaur Sandhu, Heinz Roland Weistroffer & Josephine Stanley-Brown

Authors
  1. Ramandeep Kaur Sandhu
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  2. Heinz Roland Weistroffer
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  3. Josephine Stanley-Brown
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Corresponding author

Correspondence to Ramandeep Kaur Sandhu .

Editor information

Editors and Affiliations

  1. Department of Business Informatics, University of Gdansk, Gdansk, Poland

    Stanisław Wrycza

  2. Department of Business Informatics, University of Gdansk, Gdansk, Poland

    Jacek Maślankowski

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Sandhu, R.K., Weistroffer, H.R., Stanley-Brown, J. (2019). Privacy Concerns and Remedies in Mobile Recommender Systems (MRSs). In: Wrycza, S., Maślankowski, J. (eds) Information Systems: Research, Development, Applications, Education. SIGSAND/PLAIS 2019. Lecture Notes in Business Information Processing, vol 359. Springer, Cham. https://doi.org/10.1007/978-3-030-29608-7_9

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  • DOI: https://doi.org/10.1007/978-3-030-29608-7_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-29607-0

  • Online ISBN: 978-3-030-29608-7

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