基于时空网格的多景点旅游需求预测:一个卷积块注意力模块模型

IF 6.3 3区 管理学 Q1 HOSPITALITY, LEISURE, SPORT & TOURISM Information Technology & Tourism Pub Date : 2023-04-05 DOI:10.1007/s40558-023-00247-y
Haodong Sun, Yang Yang, Yanyan Chen, Xiaoming Liu, Jiachen Wang
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Tourism demand forecasting of multi-attractions with spatiotemporal grid: a convolutional block attention module model
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来源期刊
Information Technology & Tourism
Information Technology & Tourism HOSPITALITY, LEISURE, SPORT & TOURISM-
CiteScore
18.10
自引率
5.40%
发文量
22
期刊介绍: Information Technology & Tourism stands as the pioneer interdisciplinary journal dedicated to exploring the essence and impact of digital technology in tourism, travel, and hospitality. It delves into challenges emerging at the crossroads of IT and the domains of tourism, travel, and hospitality, embracing perspectives from both technical and social sciences. The journal covers a broad spectrum of topics, including but not limited to the development, adoption, use, management, and governance of digital technology. It supports both theory-focused research and studies with direct relevance to the industry.
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