16th/19th International FLINS Conference on Computational Intelligence in Decision and Control and International Conference on Intelligence Systems and Knowledge Engineering - FLINS-ISKE 2024, Madrid (Spain). 16-20 July 2024
Summary:
While route recommendation plays a vital role in digital tourism services, conventional methods tend to be inherently complex, as they need to consider several constraints at once: user preferences, geographical and scheduling information, etc. Besides, recent interests from society and institutions have motivated a greater emphasis on sustainability across multiple sectors, including tourism. This work proposes to use reranking techniques as a plain and efficient method to generate personalized routes for users while considering sustainable goals in the procedure. We believe that these results could lead to new research directions regarding sustainable route recommendation techniques.
Keywords: Recommender systems; route recommendation; sustainability
DOI: 
https://doi.org/10.1142/9789811294631_0002
Published in Intelligent Management of Data and Information in Decision Making, pp: 9-16, ISBN: 978-981-12-9462-4
Publication date: 2024-07-16.
Citation:
P. Sánchez, A. Bellogín, Towards sustainability optimization in touristic route recommendation, 16th/19th International FLINS Conference on Computational Intelligence in Decision and Control and International Conference on Intelligence Systems and Knowledge Engineering - FLINS-ISKE 2024, Madrid (Spain). 16-20 July 2024. In: Intelligent Management of Data and Information in Decision Making: Proceedings of the 16th FLINS Conference on Computational Intelligence in Decision and Control & the 19th ISKE Conference onIntelligence Systems and Knowledge Engineering (FLINS-ISKE 2024), ISBN: 978-981-12-9462-4
