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2017 | OriginalPaper | Buchkapitel

Mobile and Context-Aware Event Recommender Systems

verfasst von : Daniel Herzog, Wolfgang Wörndl

Erschienen in: Web Information Systems and Technologies

Verlag: Springer International Publishing

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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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Titel: Mobile and Context-Aware Event Recommender Systems
verfasst von: Daniel Herzog
Wolfgang Wörndl
Verlag: Springer International Publishing
Buch: Web Information Systems and Technologies
Print ISBN: 978-3-319-66467-5

Electronic ISBN: 978-3-319-66468-2

Copyright-Jahr: 2017
DOI: https://doi.org/10.1007/978-3-319-66468-2_8

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