A novel recommender system that supports tourists in choosing interesting and novel points of interests (POIs) is here presented. It can deal with situations where users’ data is scarce and there is no additional information about users apart from their past...
CITATION STYLE
Massimo, D., & Ricci, F. (2019). Clustering Users’ POIs Visit Trajectories for Next-POI Recommendation. In Information and Communication Technologies in Tourism 2019 (pp. 3–14). Springer International Publishing. https://doi.org/10.1007/978-3-030-05940-8_1
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