Because I carry my cell phone anyway: functional location-based reminder applications
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Recommender systems and their impact on sales diversity
Proceedings of the 8th ACM conference on Electronic commerce
Activity-based serendipitous recommendations with the Magitti mobile leisure guide
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Collaborative location and activity recommendations with GPS history data
Proceedings of the 19th international conference on World wide web
Off the beaten track: a mobile field study exploring the long tail of tourist recommendations
Proceedings of the 12th international conference on Human computer interaction with mobile devices and services
A user-centric evaluation framework for recommender systems
Proceedings of the fifth ACM conference on Recommender systems
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Advances in positioning technologies have resulted in a surge of location-based recommendation systems for mobile devices. A central challenge in these systems is to avoid the so-called filter bubble effect, i.e., that people are not only exposed to information that is in line with their personal ecosystem, but that they can also discover novel and otherwise interesting content. We present results from a field study of a mobile recommendation system that has been aimed to support serendipitous discovery of events at an urban culture festival. Results from the study indicate that suitably designed recommendations together with access to relevant external information sources can lead to serendipitous discovery of new content, such as new artists, bands or individual songs. Our results also indicate that proximity has little effect on the effectiveness of serendipitous recommendations.