An Expert System for Recommendation Tourist Destinations: An Innovative Approach of Digital Marketing and Decision-Making Process


Authors : Halkiopoulos; C., AntonopoulouH., Gkintoni; E., Giannoukou

Volume/Issue : Volume 6 - 2021, Issue 4 - April

Google Scholar : http://bitly.ws/9nMw

Scribd : https://bit.ly/3t6UVY5

Abstract : The analysis of decisions and choices of tourists is of and increased importance. Characteristics, determinants and anticipation of tourism demand attract the interest of academic and scientific circles as well as tourism professionals and those who are responsible for tourism policy. Also, the integration of expert systems in tourism policy can be a helpful method in decision-making process in tourist destination in order to improve understanding of one’s traveler preference formation and choice. The proposed a system, within the domain ESTD.GR, is an Expert System for Tourist Destinations collaborating with user-tourist-type. It deals with the key aspects of the consumer behavior of tourists, such as their motivations, choices and decisions. The choice of appropriate variables is based on several factors such as the tourist type, countries of origin, time period considered due to economic crisis, costs, user ratings and the forms and type of tourism we are concerned with.

Keywords : Digital Marketing, Tourist Destinations, Expert System, Consumer Behavior, Data Mining, DecisionMaking

The analysis of decisions and choices of tourists is of and increased importance. Characteristics, determinants and anticipation of tourism demand attract the interest of academic and scientific circles as well as tourism professionals and those who are responsible for tourism policy. Also, the integration of expert systems in tourism policy can be a helpful method in decision-making process in tourist destination in order to improve understanding of one’s traveler preference formation and choice. The proposed a system, within the domain ESTD.GR, is an Expert System for Tourist Destinations collaborating with user-tourist-type. It deals with the key aspects of the consumer behavior of tourists, such as their motivations, choices and decisions. The choice of appropriate variables is based on several factors such as the tourist type, countries of origin, time period considered due to economic crisis, costs, user ratings and the forms and type of tourism we are concerned with.

Keywords : Digital Marketing, Tourist Destinations, Expert System, Consumer Behavior, Data Mining, DecisionMaking

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