This paper provides an innovative approach for taking advantage of user’s movement data as implicit user feedback for deriving recommendations in large facilities. By means of a real-world museum scenario a beacon infrastructure for tracking sojourn times is presented. Then we show how sojourn times can be integrated in a collaborative filtering algorithm approach in order to outcome accurate recommendations.
CITATION STYLE
Dunkel, J., Hermoso, R., & Rückauf, F. (2019). Exploiting user movements to derive recommendations in large facilities. In Advances in Intelligent Systems and Computing (Vol. 801, pp. 123–131). Springer Verlag. https://doi.org/10.1007/978-3-319-99608-0_14
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