Travel personalized recommendation system

• Main Authors: Chih-Cheng Shen, 沈志成
• Other Authors: Guan-Ling Lee
• Format: Others
• Published: 2015
• Online Access: http://ndltd.ncl.edu.tw/handle/54095737954264648577

碩士 === 國立東華大學 === 資訊工程學系 === 103 === In recent years, more and more citizens prefer to travel during their free time. While tourism has expanded greatly as an industry in both destinations and ways of travel, the question of organizing the ideal tour remains the main problem whose answer still eludes most tourists. In the tourism market, there are a large number of websites that provide travel information, such as Niceday and Easytravel. All of those websites have their own advantages; however, they are still missing a function. They cannot combine personal preference trip with the local recommended sceneries. This system will provide this function. This paper presents a new system called the personal trip recommendation system. In the system the user can collect trip plans. The system will then collect and organize similar trip plans together in order to give new user recommendations. Other than recommendations, the system also has two extra functions, “before the travel” and “during the travel”. Before the travel, users can scan all the events that will happen at the destination. During the travel, users can use the areas of interest given by the system’s itinerary and use Google Map API to determine those locations. If the users want to find stores or gas stations, this system can also search the surroundings to help users find them. All in all, this system will help users to enjoy all of their trips. In the assessment section, nearly 66% of users used the system recommended itinerary feature, as it both user friendly and creates tours that include the user's personal preferences.