Identifying emerging hotel preferences using Emerging Pattern Mining technique
Identifying emerging hotel preferences using Emerging Pattern Mining technique
复制标题
使用新兴模式挖掘技术识别新兴酒店偏好
DOI：
10.1016/j.tourman.2014.06.015
复制
发表时间：
2015-02-01
影响因子：
12.7
通讯作者：
Zhao, Xinyuan (Roy)
中科院分区：
文献类型：
--
作者：
Li, Gang;Law, Rob;Zhao, Xinyuan (Roy)
酒店管理者不断寻找了解旅客偏好的方法，目的是改进他们的战略规划、营销和产品开发。旅行者的偏好是不可预测的;例如，酒店客人过去喜欢在房间里有电话，但现在喜欢快速的互联网连接。偏好的变化会影响酒店业务的绩效，因此需要确定和满足客人的需求。大多数现有的研究侧重于当前的需求属性，而不是新兴的。因此，酒店经理可能会发现很难做出适当的决定，以响应旅客的关注的变化。为了应对这些挑战，本文采用新兴模式挖掘技术，以确定新兴的国际旅客感兴趣的酒店功能。数据来自118，000条在线评论记录。这些方法和研究结果可以帮助酒店管理者更好地了解游客的兴趣，从而更好地了解游客偏好的快速变化。(C)2014爱思唯尔有限公司版权所有。
Hotel managers continue to find ways to understand traveler preferences, with the aim of improving their strategic planning, marketing, and product development. Traveler preference is unpredictable; for example, hotel guests used to prefer having a telephone in the room, but now favor fast Internet connection. Changes in preference influence the performance of hotel businesses, thus creating the need to identify and address the demands of their guests. Most existing studies focus on current demand attributes and not on emerging ones. Thus, hotel managers may find it difficult to make appropriate decisions in response to changes in travelers' concerns. To address these challenges, this paper adopts Emerging Pattern Mining technique to identify emergent hotel features of interest to international travelers. Data are derived from 118,000 records of online reviews. The methods and findings can help hotel managers gain insights into travelers' interests, enabling the former to gain a better understanding of the rapid changes in tourist preferences. (C) 2014 Elsevier Ltd. All rights reserved.