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

Alvarado-Uribe, Joanna; G�mez-Oliva, Andrea; Barrera-Animas, Ari Yair; Molina, Germ�n; Gonzalez-Mendoza, Miguel; Parra-Mero�o, Mar�a Concepci�n; Jara, Antonio J.

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


Authors

Joanna Alvarado-Uribe

Andrea G�mez-Oliva

Ari Yair Barrera-Animas

Germ�n Molina

Miguel Gonzalez-Mendoza

Mar�a Concepci�n Parra-Mero�o

Antonio J. Jara



Abstract

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.

Citation

Alvarado-Uribe, J., Gómez-Oliva, A., Barrera-Animas, A. Y., Molina, G., Gonzalez-Mendoza, M., Parra-Meroño, M. C., & Jara, A. J. (2018). HyRA: A hybrid recommendation algorithm focused on smart POI. Ceutí as a study scenario. Sensors, 18(3), Article 890. https://doi.org/10.3390/s18030890

Journal Article Type Article
Acceptance Date Mar 7, 2018
Online Publication Date Mar 17, 2018
Publication Date Mar 17, 2018
Deposit Date Feb 18, 2020
Publicly Available Date Mar 28, 2024
Journal Sensors
Publisher MDPI
Peer Reviewed Peer Reviewed
Volume 18
Issue 3
Article Number 890
DOI https://doi.org/10.3390/s18030890
Keywords recommendation algorithm, point-of-interest, similarity and distance measures, aggregation operator, POI category, geographical influence, tourism
Public URL https://uwe-repository.worktribe.com/output/5130078

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