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HyRA: A Hybrid Recommendation Algorithm Focused on Smart POI. Ceutí as a Study Scenario
dc.contributor.author | Alvarado Uribe, Joanna | |
dc.contributor.author | Parra Meroño, María Concepción | |
dc.contributor.author | Gómez Oliva, Andrea | |
dc.contributor.author | Barrera Animas, Ari Yair | |
dc.contributor.author | Molina, Germán | |
dc.date.accessioned | 2018-05-02T10:48:12Z | |
dc.date.available | 2018-05-02T10:48:12Z | |
dc.date.issued | 2018-03 | |
dc.identifier.citation | Alvarado Uribe, J. et al. (2018). HyRA: A Hybrid Recommendation Algorithm Focused on Smart POI. Ceutí as a Study Scenario. Sensors, 18(890), 1-30. | es |
dc.identifier.issn | 1424-8220 | |
dc.identifier.other | doi:10.3390/s18030890 | |
dc.identifier.uri | http://hdl.handle.net/10952/3003 | |
dc.description.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 theWeb 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. | es |
dc.description.sponsorship | Project (the SmartSDK project is co-funded by the EU’s Horizon2020 programme under agreement number 723174 - c 2016 EC and the CONACYT’s agreement number 737373) Doctorado Industrial | es |
dc.language.iso | en | es |
dc.publisher | MDPI | es |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Turismo | es |
dc.subject | Smart POI | es |
dc.subject | Marketing | es |
dc.subject | Comportamiento del consumidor | es |
dc.title | HyRA: A Hybrid Recommendation Algorithm Focused on Smart POI. Ceutí as a Study Scenario | es |
dc.type | article | es |
dc.rights.accessRights | openAccess | es |
dc.relation.projectID | The SmartSDK project is co-funded by the EU’s Horizon2020 programme under agreement number 723174 | es |
dc.journal.title | Sensors | es |
dc.volume.number | 18 | es |
dc.issue.number | 890 | es |
dc.description.discipline | Administración y Dirección de Empresas | es |
dc.description.discipline | Ingeniería, Industria y Construcción | es |
dc.description.discipline | Turismo | es |