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Mobile and Context-Aware Event Recommender Systems

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Web Information Systems and Technologies (WEBIST 2016)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 292))

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Abstract

Personalized event recommendations are a challenging task. Unlike other items such as movies or restaurants, events often come with an expiration date. User ratings are usually not available before the event date and become dispensable after the event has taken place. In this work, we present the benefits and challenges of mobile and context-aware event recommender systems (RSs). We summarize basics and related work covering the most important requirements for developing event RSs. We developed a hybrid algorithm for context-aware event recommendations and integrated it into an Android prototype. Results of a two-week user study show that our RS provides useful recommendations. Based on our findings, we outline future challenges in the field of event recommendations: Improving the context-awareness, recommendations for different user and event types and an integration of event recommendations into city trip planners.

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Notes

  1. 1.

    http://www.meetup.com.

  2. 2.

    “Répondez s’il vous plaît”, French for “Please respond”. In EBSNs users can usually provide Yes, No and Maybe responses to event invitations.

  3. 3.

    http://bandsintown.com.

  4. 4.

    http://www.eventim.de.

  5. 5.

    https://www.xing.com.

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Acknowledgment

This work is part of the TUM Living Lab Connected Mobility (TUM LLCM) project and has been funded by the Bavarian Ministry of Economic Affairs and Media, Energy and Technology (StMWi) through the Center Digitisation. Bavaria, an initiative of the Bavarian State Government.

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Authors and Affiliations

  1. Department of Informatics, Technical University of Munich, Boltzmannstr. 3, Garching b. München, 85748, Germany

    Daniel Herzog & Wolfgang Wörndl

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  1. Daniel Herzog
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  2. Wolfgang Wörndl
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Correspondence to Daniel Herzog .

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Editors and Affiliations

  1. University of Paris, Paris, France

    Valérie Monfort

  2. Department of Information Systems and Databases, RWTH Aachen University, Aachen, Germany

    Karl-Heinz Krempels

  3. Faculty of Social Sciences, University of Agder, Kristiansand, Norway

    Tim A. Majchrzak

  4. Center for Information Technology, FBK-ICT IRST, Trento, Italy

    Paolo Traverso

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Herzog, D., Wörndl, W. (2017). Mobile and Context-Aware Event Recommender Systems. In: Monfort, V., Krempels, KH., Majchrzak, T., Traverso, P. (eds) Web Information Systems and Technologies. WEBIST 2016. Lecture Notes in Business Information Processing, vol 292. Springer, Cham. https://doi.org/10.1007/978-3-319-66468-2_8

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  • DOI: https://doi.org/10.1007/978-3-319-66468-2_8

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