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Titlebook: Information and Communication Technologies in Tourism 2023; Proceedings of the E Berta Ferrer-Rosell,David Massimo,Katerina Berezin Confere

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21#
發(fā)表于 2025-3-25 05:37:54 | 只看該作者
22#
發(fā)表于 2025-3-25 09:25:18 | 只看該作者
A Re-rank Algorithm for?Online Hotel Searchhis meta-search booking platform comparing the current policy with a price-based re-rank policy. Our online experiments suggested that, although in offline experiments items with lower prices tend to have a higher Click-Through Rate, in an online context a price-based re-rank was only capable to imp
23#
發(fā)表于 2025-3-25 12:29:17 | 只看該作者
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發(fā)表于 2025-3-25 19:30:53 | 只看該作者
User Experience and Spatial Presence in a Walk-In Augmented Reality 3D Model for Touristsr user experience, spatial situation model, and spatial presence when using the system. These early results suggested that viewing a 3D model of the attraction using tablet-based AR provided a positive user experience for the participants and that the tablet-based AR implementation was successful in
25#
發(fā)表于 2025-3-25 20:03:33 | 只看該作者
Factors Influencing Users’ Content Sharing Intention in Travel-Related Consumer Generated Medias’ intention to use travel-related CGM for content sharing. However, the impacts of perceived usefulness, perceived ease of use, status-seeking, socializing, and passing time on their attitudes toward content sharing were insignificant. This study tests the possibility of combining the TAM, TPB, and
26#
發(fā)表于 2025-3-26 01:28:16 | 只看該作者
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發(fā)表于 2025-3-26 07:27:47 | 只看該作者
28#
發(fā)表于 2025-3-26 12:22:47 | 只看該作者
Han Zhou,Tao Sun,Yi Xuan Ong,Naoya Itooss fields and domains.The book will be of interest to educational professionals, researchers, and developers of educational technology that utilize artificial intelligence..978-3-031-65900-3978-3-031-65898-3Series ISSN 2662-2122 Series E-ISSN 2662-2130
29#
發(fā)表于 2025-3-26 12:42:06 | 只看該作者
30#
發(fā)表于 2025-3-26 16:54:35 | 只看該作者
ies in case of any detected abnormal activity. This ensures that immediate actions can be taken to mitigate potential threats or provide timely assistance. The proposed approach is validated on benchmark datasets and achieves promising results, outperforming existing methods. The combination of CNN
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