Valuable Tourism Information via Mobile Application

Abstract

The travel and tourism industry is one of the main sources of income in Thailand. People choose to travel around the world, as a way to relax and enjoy their time. Users search information from many resources before and during their travel. We grouped the mobile tourism applications into two main groups in order to analyse the nature of information in the tourism applications. Social network provides rich collaborative user-generated information. We found that most tourism applications require personal information and pre-existing association in order to get information. We argue that, in tourism, a user requires instant and easy access to information. So the social network might not be an appropriate option. Therefore we propose a simple collaborative user-generated content application, which has a location awareness chat system. We aim to provide an application with self-sufficient information that allows the user to instantly share, search, and comment on information at anytime and anywhere. Moreover, the location awareness chat system is introduced to provide instant firsthand information to the users as well.

Research on Tourism Service Intelligent Recommendation System Based on Apriori-MD Algorithm

“…Development of smart technologies and gadget expansion led to the appearance of a new type of recommender systems -mobile recommender systems. Mobile recommender systems are oriented to satisfy at once various user's requests, pleasing his tastes, needs and considering current circumstances [14].…”