HyRA : a hybrid recommendation algorithm focused on smart POI : Ceutí as a study scenario

Alvarado-Uribe, Joanna (Computer Science Department, Tecnologico de Monterrey, School of Engineering and Sciences, Mexico) ; Gomez-Oliva, Andrea (HOP Ubiquitous S.L., Murcia, Spain ; Social Sciences, Law and Business Department, Universidad Católica de Murcia (UCAM), Murcia, Spain) ; Barrera-Animas, Ari Yair (Computer Science Department, Tecnologico de Monterrey, School of Engineering and Sciences, Mexico) ; Molina, German (HOP Ubiquitous S.L., Murcia, Spain) ; Gonzalez-Mendoza, Miguel (Computer Science Department, Tecnologico de Monterrey, School of Engineering and Sciences, Mexico) ; Parra-Merono, Maria Concepcion (Social Sciences, Law and Business Department, Universidad Católica de Murcia (UCAM), Murcia, Spain) ; Jara, Antonio (University of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis))

Nowadays, Physical Web together with the increase in the use of mobile devices, Global Positioning System (GPS), and Social Networking Sites (SNS) have caused users to share enriched information on the Web such as their tourist experiences. Therefore, an area that has been significantly improved by using the contextual information provided by these technologies is tourism. In this way, the main goals of this work are to propose and develop an algorithm focused on the recommendation of Smart Point of Interaction (Smart POI) for a specific user according to his/her preferences and the Smart POIs’ context. Hence, a novel Hybrid Recommendation Algorithm (HyRA) is presented by incorporating an aggregation operator into the user-based Collaborative Filtering (CF) algorithm as well as including the Smart POIs’ categories and geographical information. For the experimental phase, two real-world datasets have been collected and preprocessed. In addition, one Smart POIs’ categories dataset was built. As a result, a dataset composed of 16 Smart POIs, another constituted by the explicit preferences of 200 respondents, and the last dataset integrated by 13 Smart POIs’ categories are provided. The experimental results show that the recommendations suggested by HyRA are promising.


Keywords:
Article Type:
scientifique
Faculty:
Economie et Services
School:
HEG-VS
Institute:
Institut Informatique de gestion
Subject(s):
Economie/gestion
Date:
2018-03
Pagination:
30 p.
Published in:
Sensors
Numeration (vol. no.):
2018, vol. 18, no. 3, pp. 1-30
DOI:
External resources:
Appears in Collection:



 Record created 2018-11-16, last modified 2018-12-20

Fulltext:
Download fulltext
PDF

Rate this document:

Rate this document:
1
2
3
 
(Not yet reviewed)