Abstract

Leisure travel has become a topic of great interest to Taiwanese residents in recent years. Most residents expect to be able to relax on a vacation during the holidays; however, the complicated procedure of travel itinerary planning is often discouraging and leads them to abandon the idea of traveling. In this paper, we design an automatic travel itinerary planning system for the domestic area (ATIPS) using an algorithm to automatically plan a domestic travel itinerary based on user intentions that allows users to minimize the process of trip planning. Simply by entering the travel time, the departure point, and the destination location, the system can automatically generate a travel itinerary. According to the results of the experiments, 70% of users were satisfied with the result of our system, and 82% of users were satisfied with the automatic user preference learning mechanism of ATIPS. Our algorithm also provides a framework for substituting modules or weights and offers a new method for travel planning.

Highlights

  • Given current levels of living standards and incomes, Taiwanese citizens pay more attention to the quality of their leisure life [1]

  • Because our system considers a variety of factors in making travel arrangements and presents the best result to the user, the average popularity of the tourist spots in the first tour itinerary arranged by the system is higher than that in the itinerary arranged by the system after learning user’s preferences

  • Leisure travel has recently become a topic of great interest to Taiwanese residents

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Summary

Introduction

Given current levels of living standards and incomes, Taiwanese citizens pay more attention to the quality of their leisure life [1]. A system that arranges personal travel itineraries, provides options for dining, entertainment, and accommodation, and uses a simple and quick procedure will reduce the time that it takes vacationers to schedule their travel. After identifying interesting travel destinations, the relevant tourist destinations, dining places, and hotels must be consecutively reserved for a smooth transition during the entire trip. These types of procedures may be complicated; this study involving ATIPS provides an algorithm to automatically plan a domestic travel itinerary based on user intentions that allows users to minimize the trip-planning process. ATIPS provides the recommendation and planning functions to help people reduce the efforts before the trip

Related Works
Design and Implementation of ATIPS
Experiments and Discussions
Summary
Conclusions
Full Text
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