A Personalized Travel Recommender System Using Fuzzy Analytic Hierarchy Process

Abstract

Information and communication technologies have a deep implication for the industry. This combination is being used extensively in an excessive variety of functions and numerous applications. On the other hand, tourism has become an extremely dynamic system. The globalization enabled by technology development and budget travel cost has greatly increased competition. Decision support system (DSS) can play an important role to organizations and people who managing tourism destinations. The main intention of this research is to apply Decision Support System (DSS) in tourism. It aims to establish a personalized travel recommender system that is interactive and can be easily shared and integrated in order to verify the concept of providing tourism decision support system interactively. Specifically, the study aims to achieve the following objectives; (1) To evaluate and measure criteria and alternatives performance; (2) To analyze the ranking of criteria and alternatives; (3) To recommend tourist in terms of islands, accommodation, activities and etc. based on budget. Evaluation module enables experts in tourism to evaluate criteria and alternatives of small islands to indicate islands’ performance. Analysis module will provide reports for performance of criteria and alternatives based on Best Non-fuzzy Performance. A risk analysis model for travel recommender system development using a fuzzy set approach is proposed and incorporated into the Fuzzy Decision Support System (FDSS).This study presents fuzzy-AHP as a proposed method to apply with decision making in social attributes by applying fuzzy approach. A web-based prototype Decision Support System (DSS) is designed and developed in order to prove the objectives.

TourOptiGuide: A Hybrid and Personalized Tourism Recommendation System

“…The system may enhance the user experience and engagement, resulting in higher profits for travel-related enterprises. This research [29] proposes and integrates a fuzzy set approach travel recommender system into a fuzzy decision support system (FDSS) to provide tourists with recommendations for islands, lodging, activities, and other related factors. A fuzzy logic-based recommender system is also proposed in this research [30] that uses a fuzzy inference system (FIS) to recommend tourist spots to travellers and the top locations that satisfy most of the user's defined preferences.…”