HyRA: A Hybrid Recommendation Algorithm Focused on Smart POI. Ceutí as a Study Scenario.

Clicks: 338
ID: 48377
2018
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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.
Reference Key
alvaradouribe2018hyrasensors Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Alvarado-Uribe, Joanna;Gómez-Oliva, Andrea;Barrera-Animas, Ari Yair;Molina, Germán;Gonzalez-Mendoza, Miguel;Parra-Meroño, María Concepción;Jara, Antonio J;
Journal sensors
Year 2018
DOI
E890
URL
Keywords
Tourism poi category aggregation operator geographical influence point-of-interest recommendation algorithm similarity and distance measures ghana emotional distress accra photo-voice vended water water security

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