ABSTRACT

Awareness and access to information on travel benefits may bear importance for tourist preference in selecting popular destination. Tourism businesses are continuously exploring to improve their competitive advantage and offering an effective method for assisting tourist in electing their preferred destinations. However, current studies are still at an emergent stage. This paper presents a tourists preferences dataset and introduces preference pattern mining (PPM) method as a solution framework for discovering tourist spots. Our PPM method finds and validates the most active tourist hot spots from tourist preferences dataset. The proposed framework facilitates an unbiased approach for optimal tourism destination management in tourism-friendly countries.

摘要

了解和获取有关旅行利益的信息可能对游客选择热门目的地的偏好具有重要意义。旅游企业不断探索提升自身竞争优势，为游客选择目的地提供有效方法。然而，目前的研究仍处于萌芽阶段。本文提出了一个游客偏好数据集，并引入了偏好模式挖掘（PPM）方法作为发现旅游景点的解决方案框架。我们的 PPM 方法从游客偏好数据集中找到并验证最活跃的旅游热点。拟议的框架促进了在旅游友好国家中优化旅游目的地管理的公正方法。