Applying Ambient Characteristics, Personalization and Ontology Concepts to Tourist Guide Route Generation
DOI:
https://doi.org/10.55630/dipp.2022.12.19Keywords:
Algorithm, Ambients, Ontology, User PreferencesAbstract
Assisting tourists by guiding them on their trip is neither a new, nor a trivial topic. People have different considerations when choosing which objects to visit while on tour. There is plenty of factors that could influence their choice and the more of those dynamic characteristics and related circumstances the algorithms support, the more valuable they are.References
Skripal, B., & Pyshkin, E. (2015). Automated Leisure Walk Route Generation for an Interactive Travel Planner. Internetional Workshop on Applications in Information Technology .
Doychev, E., Stoyanova-Doycheva, A., Stoyanov, S., & Ivanova, V. (2016). Agent- Based Support of a Virtual eLearning Space. ICCCI 2016, Halkidiki, Greece, 28-30 September, 2016, https://www.ieee-is.org/intelligent-systems-2016/conferenceprogram/ .
Kostadinov, G., Milev, K., Staynov, S., & Stoyanova-Doycheva, A. (2020). Algorithm for Generating and Visualizing Routes of an Intelligent Tourist Guide. 2020 International Conference Automatics and Informatics (ICAI), 2020, pp. 1-5, doi: 10.1109/ICAI50593.2020.9311310.
Miteva, M., Stoyanova-Doycheva, A., & Ivanovna, V. (2018). Architecture of an intelligent tourist guide. Computer Sciences and Communications Journal, 7(1), 39- 45, https://csc.bfu.bg/index.php/CSC/article/view/205.
