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A Recommender System for Trip Planners
Author(s)
Date Issued
January 1, 2020
Type
Conference Paper
Abstract
Making a trip plan is a key activity for having a satisfying trip for tourists. However, as we survey, there are many users do not need to spend a lot of time to write the plan, and it becomes a pain point for users. The users prefer to have a simple way to create a whole trip plan from a few users’ constraints, and the users just customize some items for their satisfaction. Thus, this work introduces a recommender system that mainly employs the genetic algorithm for generating a trip plan. The approach accepts a few roughly input requirements from users, and then it creates a whole trip schedule and allows users to modify. To have a quality trip plan, any places and times in the plan have to correspond to places’ categories, open weekdays, times to spend, favorite daytimes and months, and possible routes. A web application for trip planner is developed to demonstrate the suitability and feasibility of the proposed recommender system. After that, the user feedback and usage statistic present the high degree of user satisfaction and opportunity to improve tourism of any city.
Citation
Communications in Computer and Information Science, 1178 CCIS, 493-504, 2020