User-generated photos in hotel demand forecasting

IF 10.4 1区 管理学 Q1 HOSPITALITY, LEISURE, SPORT & TOURISM
Jian Xu , Wei Zhang , Hengyun Li , Xiang (Kevin) Zheng , Jing Zhang
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引用次数: 0

Abstract

User-generated content has become an invaluable resource for researchers in hospitality and tourism, especially regarding sales and demand forecasting. Some scholars have analyzed textual data and sentiment information; however, few studies have addressed roles of user-generated photos in hotel demand prediction. This study fills this void by examining the effectiveness of various photo features (i.e., topics and sentiments) for hotel demand forecasting. Results demonstrate the superiority of photo topic features over sentiment features in enhancing demand prediction. Forecasting accuracy is further improved after integrating a combination of photo topic and sentiment features. Moreover, user-generated photos elevate the accuracy of daily demand forecasting for different hotels. This study contributes to the literature on hotel demand forecasting using Internet multimodal data.

Abstract Image

酒店需求预测中的用户生成照片
用户生成的内容已成为酒店和旅游业研究人员的宝贵资源,尤其是在销售和需求预测方面。一些学者分析了文本数据和情感信息,但很少有研究涉及用户生成的照片在酒店需求预测中的作用。本研究通过检验各种照片特征(即主题和情感)对酒店需求预测的有效性,填补了这一空白。结果表明,在增强需求预测方面,照片主题特征优于情感特征。在综合使用照片主题和情感特征后,预测准确率进一步提高。此外,用户生成的照片提高了不同酒店每日需求预测的准确性。本研究为利用互联网多模态数据进行酒店需求预测的文献做出了贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
19.10
自引率
9.10%
发文量
135
审稿时长
42 days
期刊介绍: The Annals of Tourism Research is a scholarly journal that focuses on academic perspectives related to tourism. The journal defines tourism as a global economic activity that involves travel behavior, management and marketing activities of service industries catering to consumer demand, the effects of tourism on communities, and policy and governance at local, national, and international levels. While the journal aims to strike a balance between theory and application, its primary focus is on developing theoretical constructs that bridge the gap between business and the social and behavioral sciences. The disciplinary areas covered in the journal include, but are not limited to, service industries management, marketing science, consumer marketing, decision-making and behavior, business ethics, economics and forecasting, environment, geography and development, education and knowledge development, political science and administration, consumer-focused psychology, and anthropology and sociology.
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