User Profile and Multi-criteria Decision Making: Personalization of Traveller's Information in Public Transportation

Moussa, Soumaya; Soui, Makram; Abed, Mourad

doi:10.1016/j.procs.2013.09.119

Cited by 4 publications

(2 citation statements)

References 12 publications

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“…Furthermore, Moussa et al propose a personalized-based system that provides travelers with knowledge about choosing travel itineraries. The author develops a web-based system using the ELECTRE method to produce the most suitable itinerary for travelers [32]. In another study, Tenemaza et al introduced a mobile applicationbased tourism destinations recommender system.…”

Section: Relate Workmentioning

confidence: 99%

Destinations Ratings Based Multi-Criteria Recommender System for Indonesian Halal Tourism Game

2022

IJIES

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Halal tourism is one of the tourism products that have the prospect of contributing to economic growth in Indonesia. Therefore, the government needs to increase promotions to increase tourist interest in halal tourism destinations in Indonesia. Game is one of the alternative promotional media that can also function as an educational medium for choosing halal tourism that is fun for potential tourists. This study proposes a recommendation system to support knowledge sources in the Indonesian halal tourism game. We use destinations ratings-based multi-criteria recommender system (MCRS) to generate recommendation rankings as a reference for visualizing halal travel for players as potential tourists. This method improves the ability of the conventional tourism recommendation system, which is generally based on a single criterion. In this study, we use eight destinations rating criteria as a reference for calculating the recommender system in the halal tourism game. Each of these criteria is a reference for tourists' assessment of halal tourist destinations in Indonesia. Next, we integrate the cosine-based similarity technique in MCRS to measure the level of similarity between players and previous tourist data sets. This research's testing phase uses the theme of halal tourism destinations in the Batu City area. The test results show that the number and composition of the tourism destinations item rating as input of the recommender system affect the accuracy, precision, recall, and F1 scores. Based on 40 experiments with different tourism destination item rating input configurations, it shows that the average value of accuracy = 0.60, precision = 0.67, recall = 0.64 and F1 score = 0.65.

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Section: Relate Workmentioning

confidence: 99%

Destinations Ratings Based Multi-Criteria Recommender System for Indonesian Halal Tourism Game

2022

IJIES

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“…Moussa et al, in a study, introduced a personalization-based system to help users determine their travel itineraries. The personalized system utilizes the ELECTRE method as a decision support system to find the optimal itinerary for the user [31]. Furthermore, Tenemaza et al offer a mobile recommender system application for selecting tourism destinations base on tourist trip design problems.…”

Section: A Related Workmentioning

confidence: 99%

An Automatic Scenario Control in Serious Game to Visualize Tourism Destinations Recommendation

et al. 2021

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In the field of tourism, serious games are a pedagogical media application that helps players develop travel knowledge and expertise based on game content. A tourism serious game requires a scenario control system to visualize an attractive travel scenario. This paper proposes an Automatic Scenario Control in the serious game to visualize travel recommendation scenarios choice according to the player's expectations of potential tourism destinations criteria. There are two stages in system development, namely scenario design and scenario selection. In the scenario design stage, we use the Hierarchical Finite State Machine to translate challenge-based stories according to the type of attraction. While at the scenario selection stage, Dynamic Weight Topsis is a method for selecting one of the player's recommended scenarios. This study uses tourism destinations recommendations as to alternative variables, characteristics of tourism destinations as criteria, and players' expectations of tourism destinations' characteristics as weight criteria. In the implementation phase, the tourism serious game uses the content of tourism destinations in Mojokerto Indonesia. The test results show that Automatic Scenario Control generates a preference value for each alternative as a reference for choosing tourism destination scenarios for the player. Three things affect the scenario choice results, including the choice of month of tourist visits, player expectations of tourist destinations, and alternative input from the recommender system.

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Disease profiling in pharmaceutical E-commerce

Liu

Yang

2021

Expert Systems with Applications

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User Profile and Multi-criteria Decision Making: Personalization of Traveller's Information in Public Transportation

Cited by 4 publications

References 12 publications

Destinations Ratings Based Multi-Criteria Recommender System for Indonesian Halal Tourism Game

Destinations Ratings Based Multi-Criteria Recommender System for Indonesian Halal Tourism Game

An Automatic Scenario Control in Serious Game to Visualize Tourism Destinations Recommendation

Disease profiling in pharmaceutical E-commerce

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