A 3D Item Space Visualization for Presenting and Manipulating User Preferences in Collaborative Filtering

Kunkel, J., Loepp, B., & Ziegler, J. (2017). In Proceedings of the 22nd International Conference on Intelligent User Interfaces (IUI ’17) (pp. 3–15). New York, NY, USA: ACM.


While conventional Recommender Systems perform well in automatically generating personalized suggestions, it is often difficult for users to understand why certain items are recommended and which parts of the item space are covered by the recommendations. Also, the available means to influence the process of generating results are usually very limited. To alleviate these problems, we suggest a 3D map-based visualization of the entire item space in which we position and present sample items along with recommendations. The map is produced by mapping latent factors obtained from Collaborative Filtering data onto a 2D surface through Multidimensional Scaling. Then, areas that contain items relevant with respect to the current user’s preferences are shown as elevations on the map, areas of low interest as valleys. In addition to the presentation of his or her preferences, the user may interactively manipulate the underlying profile by raising or lowering parts of the landscape, also at cold-start. Each change may lead to an immediate update of the recommendations. Using a demonstrator, we conducted a user study that, among others, yielded promising results regarding the usefulness of our approach.


Related publications

3D-Visualisierung zur Eingabe von Präferenzen in Empfehlungssystemen

Kunkel, J., Loepp, B., & Ziegler, J. (2015). In Mensch und Computer 2015 – Tagungsband (pp. 123–132). Berlin: De Gruyter Oldenbourg.

On User Awareness in Model-Based Collaborative Filtering Systems

Loepp, B., & Ziegler, J. (2017). In Proceedings of the 1st Workshop on Awareness Interfaces and Interactions (AWARE ’17).

Explaining Recommendations by Means of User Reviews

Donkers, T., Loepp, B., & Ziegler, J. (2018). In 1st Workshop on Explainable Smart Systems (ExSS), 11 March 2018, Tokyo, Japan.


Research development

Movie Landscape

A 3D interface, that helps expressing personal preferences in large information spaces

Focus areas

Playful and Social Interaction

(47 publications)