TY - JOUR
T1 - Serendipity-based Points-of-Interest Navigation
AU - Ge, Xiaoyu
AU - Chrysanthis, Panos K.
AU - Pelechrinis, Konstantinos
AU - Zeinalipour-Yazti, Demetrios
AU - Sharaf, Mohamed A.
N1 - Funding Information:
The first three authors’ research work in this article was partially supported by the U.S. National Science Foundation CPS-1739413 and the National Institutes of Health U01HL137159 awards. The fourth author’s research work in this article was supported by the Alexander von Humboldt-Foundation, Germany, and by the Cyprus RPF EnterCY (INTEGRATED/0916/0020). The fifth author’s research work in this article was supported by the UAE University grant G00003352. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Science Foundation and the National Institutes of Health. Authors’ addresses: X. Ge and P. K. Chrysanthis, University of Pittsburgh, Department of Computer Science, 4200 Fifth Ave, Pittsburgh, PA, 15260; emails: {xiaoyu, panos}@cs.pitt.edu; K. Pelechrinis, University of Pittsburgh, Department of Informatics and Network Systems, 4200 Fifth Ave, Pittsburgh, PA, 15260; email: kpele@pitt.edu; D. Zeinalipour-Yazti, University of Cyprus, Department of Computer Science, Kallipoleos 75, Nicosia, Cyprus; email: dzeina@cs.ucy.ac.cy; M. A. Sharaf, United Arab Emirates University, Department of Computer Science, Sheik Khalifa Bin Zayed St, Abu Dhabi, United Arab Emirates; email: msharaf@uaeu.ac.ae. Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from permissions@acm.org. © 2020 Association for Computing Machinery. 1533-5399/2020/10-ART33 $15.00 https://doi.org/10.1145/3391197
Publisher Copyright:
© 2020 ACM.
PY - 2020/11
Y1 - 2020/11
N2 - Traditional venue and tour recommendation systems do not necessarily provide a diverse set of recommendations and leave little room for serendipity. In this article, we design MPG, a Mobile Personal Guide that recommends: (i) a set of diverse yet surprisingly interesting venues that are aligned to user preferences and (ii) a set of routes, constructed from the recommended venues. We also introduce EPUI, an Experimental Platform for Urban Informatics. Our comparison with the state-of-the-art schemes indicates that MPG is capable of providing high-quality venues and route recommendations while incorporating seamlessly both the notion of diversity and that of serendipity.
AB - Traditional venue and tour recommendation systems do not necessarily provide a diverse set of recommendations and leave little room for serendipity. In this article, we design MPG, a Mobile Personal Guide that recommends: (i) a set of diverse yet surprisingly interesting venues that are aligned to user preferences and (ii) a set of routes, constructed from the recommended venues. We also introduce EPUI, an Experimental Platform for Urban Informatics. Our comparison with the state-of-the-art schemes indicates that MPG is capable of providing high-quality venues and route recommendations while incorporating seamlessly both the notion of diversity and that of serendipity.
KW - POIs recommendation
KW - diversity
KW - relevance
KW - serendipity
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U2 - 10.1145/3391197
DO - 10.1145/3391197
M3 - Article
AN - SCOPUS:85095968722
SN - 1533-5399
VL - 20
JO - ACM Transactions on Internet Technology
JF - ACM Transactions on Internet Technology
IS - 4
M1 - 33
ER -