The information overflow of today's information society can be overcome by the usage of recommender systems. Due to the fact that most recommender systems act as black boxes, trust in a system decrease, especially when a recommendation failed. Recommender systems usually don't offer any insight into the systems logic and cannot be questioned as it is normal for a recommendation process between humans. Transparency, which is about explaining to the user why a recommendation is made, supports the user in a way of understanding the reasoning behind a recommendation. Within a mobile environment, it is possible to address the user more individualized but transparency needs a completely different way of visualization and interaction. The paper in hand aims at setting up a process model on how to address transparency in mobile recommendations and therefore introduce into a complex new area of research, recommender systems didn't address in the past. © 2008 International Federation for Information Processing.
CITATION STYLE
Radmacher, M. (2008). A procedure of how to conduct research in transparent mobile recommendations. In IFIP International Federation for Information Processing (Vol. 286, pp. 49–60). https://doi.org/10.1007/978-0-387-85691-9_5
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