Clustering Users’ POIs Visit Trajectories for Next-POI Recommendation

  • Massimo D
  • Ricci F
N/ACitations
Citations of this article
18Readers
Mendeley users who have this article in their library.
Get full text

Abstract

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...

Cite

CITATION STYLE

APA

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

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free