Out of the bubble
| Autor: | Andreas Forsblom, Pirkka Åman, Lassi A. Liikkanen, Petteri Nurmi |
|---|---|
| Rok vydání: | 2012 |
| Předmět: |
Computer science
Serendipity 05 social sciences Music festival 02 engineering and technology Recommender system Field (computer science) World Wide Web Filter bubble Urban computing Urban culture 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing 0501 psychology and cognitive sciences Mobile device 050107 human factors |
| Zdroj: | IUI |
| DOI: | 10.1145/2166966.2167011 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|