@inproceedings{760a6b0cf637402db09e5fe66d300e78,
title = "Mobile and context-aware event recommender systems",
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.",
keywords = "Content-boosted Collaborative Filtering, Context-awareness, Event recommendations, Mobile application, Recommender system",
author = "Daniel Herzog and Wolfgang W{\"o}rndl",
note = "Publisher Copyright: {\textcopyright} 2017, Springer International Publishing AG.; 12th International Conference on Web Information Systems and Technologies, WEBIST 2016 ; Conference date: 23-04-2016 Through 25-04-2016",
year = "2017",
doi = "10.1007/978-3-319-66468-2\_8",
language = "English",
isbn = "9783319664675",
series = "Lecture Notes in Business Information Processing",
publisher = "Springer Verlag",
pages = "142--163",
editor = "Majchrzak, \{Tim A.\} and Valerie Monfort and Karl-Heinz Krempels and Paolo Traverso",
booktitle = "Web Information Systems and Technologies - 12th International Conference, WEBIST 2016, Revised Selected Papers",
}