Schedule Travel Planning System for Phayao Information Recommendation

In modern times, tourism services have many forms. Especially the tourism information service which can be used to make decisions. During which Thailand is one of the countries with the highest number of tourists in the world. Regarding that publicity or advertisement currently, Thailand has a project called "Travel in the less-visited area" to stimulate the tourism economy. The purpose of various data information on tourists, especially statistical data, travel history or even basic personal information in the analysis and strategies. The result of data that has been correctly analyzed through using techniques such as the recommendation technique. Moreover, it is the right choice because it is used in the educational process, research and business sector, for example, travel and hotel reservation services of the booking.com and Traveloka. In the paper, present the solution to apply the methods used widely in recommendation systems such as collaborative filtering and user profile for solving problems and managing tourism information in Phayao province. Through using tourist information and travel plans data received from users in the system for analysis. Including to obtain tourism information regarding the planned travel of tourists, and for creating an appropriate tourism planning system toward the tourists who are interested in tourism but do not have information or not planned. Experimental purposes, we expected that the system can recommend tourist attractions such as information and advertisements for travel locations in Phayao province and can provide the result of travel plan prediction.