Developing web apps based on multi-criteria decision making and user preferences

Abstract

There are different perspectives on the ideal place for dining, including the taste, parking lot, service, price, and other support facilities. Therefore, accommodating tourist preferences is essential to produce appropriate recommendations since tourists are very subjective and diverse when defining their favorite culinary places. Culinary support systems may help the community to obtain a culinary location recommendation as they please. This study aims to develop a web-based system that provides an appropriate recommendation for gastronomic tourists using the VIKOR method as a ranking advisor. The results showed that the algorithm ensures optimal decision - making based on user and expert assessments.

Ubiquitous Tourist System Based on Multicriteria Decision Making and Augmented Reality

“…This methodology was evaluated using data from Tripadvisor [15]. Effendy et al (2021) applied the MCDM technique to model user preferences in a tourist recommendation system [16]. This technique, which is based on the VIKOR method, was applied to a web-based system that enabled tourists to enter certain criteria, and subsequently combined them to generate the highest-ranking advisor in a recommendation system.…”