Deep learning and pre-trained models have shown great success in time series forecasting. However, in the tourism industry, time series data often exhibit a leading time property, presenting a 2D structure. This introduces unique challenges for forecasting in this sector. In this study, we propose a novel modelling paradigm, TripCast, which treats trip time series as 2D data and learns representations through masking and reconstruction processes. Pre-trained on large-scale real-world data, TripCast notably outperforms other state-of-the-art baselines in in-domain forecasting scenarios and demonstrates strong scalability and transferability in out-domain forecasting scenarios.

Immersive technologies such as Metaverse, AR, and VR are at a crossroads, with many actors pondering their adoption and potential sectors interested in integration. The cultural and tourism industries are particularly impacted, facing significant pressure to make decisions that could shape their future landscapes. Stakeholders' perceptions play a crucial role in this process, influencing the speed and extent of technology adoption. As immersive technologies promise to revolutionize experiences, stakeholders in these fields weigh the benefits and challenges of embracing such innovations. The current choices will likely determine the trajectory of cultural preservation and tourism enhancement, potentially transforming how we engage with history, art, and travel. Starting from a decomposition of stakeholders' perceptions into principal components using Q-methodology, this article employs an evolutionary game model to attempt to map possible scenarios and highlight potential decision-making trajectories. The proposed approach highlights how evolutionary dynamics lead to identifying a dominant long-term strategy that emerges from the complex system of coexistence among various stakeholders.

Tibet, ensconced within China's territorial expanse, is distinguished by its labyrinthine and heterogeneous topography, a testament to its profound historical heritage, and the cradle of a unique religious ethos. The very essence of these attributes, however, has impeded the advancement of Tibet's tourism service infrastructure, rendering existing smart tourism services inadequate for the region's visitors. This study delves into the ramifications of informational disparities at tourist sites on Tibetan tourism and addresses the challenge of establishing the Large Language Model (LLM) evaluation criteria. It introduces an innovative approach, the DualGen Bridge AI system, employing supervised fine-tuning techniques to bolster model functionality and enhance optimization processes. Furthermore, it pioneers a multi-structured generative results assessment framework. Empirical validation confirms the efficacy of this framework. The study also explores the application of the supervised fine-tuning method within the proprietary DualGen Bridge AI, aimed at refining the generation of tourist site information. The study's findings offer valuable insights for optimizing system performance and provide support and inspiration for the application of LLM technology in Tibet's tourism services and beyond, potentially revolutionizing the smart tourism industry with advanced, tailored information generation capabilities.

Tourism is one of the most important economic sectors in the world (Hollenhorst The Bidirectional Encoder Representations et al., 2014), and its services have many from Transformers (BERT) is currently the characteristics that distinguish them from most important and state-of-the-art natural other products. Services are not tangible language model (Tenney et al., 2019) since and cannot be tested in advance, which is its launch in 2018 by Google. BERT Large, why the customer assumes an increased which is based on a Transformer risk before starting the trip. The service is architecture, is considered one of the most co-created together with the customer, so powerful language models with 24 layers, the customer is an active co-creator of the 16 attention heads, and 340 million service. Services are subject to the unoactu parameters (Lan et al. 2019). BERT is a principle, which means they are pretrained model and can be fine-tuned to produced at the same time as they are perform numerous downstream tasks such consumed, and they are considered as text classification, question answering, bilateral, i.e. a reciprocal relationship sentiment analysis, extractive between persons (Chehimi, 2014). In summarization, named entity recognition, addition, tourism services are relatively or sentence similarity (Egger, 2022). The expensive compared to everyday products model was pretrained on a huge English and have an intercultural dimension.

Singapore is gradually reopening its borders again after months of coronavirus travel restrictions. As the city-state looks to salvage its battered tourism industry -- which contributes around 4% to its economy -- it's hoped that artificial intelligence (AI) can help the sector bring back visitors safely. Official data shows monthly visitor arrivals were down by 76% between January to July, compared to a year ago. Visitor arrivals in July alone were down more than 99% year-on-year. Even though the Southeast Asian nation remains closed off to most foreigners, officials are now considering lifting restrictions for select groups of visitors.

Ongoing border restrictions and lower consumer appetite for international flights have changed travel as an industry. The two entrepreneurs said they believe machine learning and AI will change travel as an experience. "The business models of traditional corporate travel management companies have not evolved for decades," Kirtane stated. "Existing tools have not kept pace with the modern business traveler, and are generally not affordable by smaller and mid-sized businesses." "Hotels used to feel more technologically advanced than our homes but as IoT (Internet of Things), AI and consumer tech companies take the lead, the tech gradient has reversed -- hotels now feel lower tech than our own homes," said Ling of Vouch.

Since the mere beginnings of travel and tourism in ancient Rome, where rich citizens used to take long trips to the countryside and the coast to spend their summers away from the city; the world's first transatlantic passenger flight service in 1939; all the way to the current state of travel, where booking flights and hotel rooms are just a click away, the travel industry has always grown and benefited from technological advances. Although the industry has, at times, been resistant to adopting new technologies, it's undeniable that all the growth the tourism industry faced would not have been possible without the influence of technological innovations. Speaking of innovation, we cannot deny that digitalization has been one of the biggest transformations the travel industry has seen in recent years. Digitization opened the way to lots of new technologies, within which is artificial intelligence. AI has become by far the most profitable and used technology in applications, and it has made many essential processes of this industry significantly faster and more convenient.

Anyone that has ever spoken the words "Hey Siri" or "OK Google" into their phone knows how to use voice assistants. The revolution of digital and artificial intelligence is affecting more and more aspects of our lives and businesses. It is being used to create bots for automation or to simply make sense of the billions of datasets that are being generated daily. Generally, when it comes to artificial intelligence it is all about making processes easier or better. Especially while dealing with customer interactions the new possibilities of AI, most prominently chatbots are creating a more enjoyable customer experience.

Artificial intelligence is improving all the time, making it more reliable and more attractive as a business solution. In particular, businesses in the travel industry are taking advantage of AI in order to perform a variety of administrative and customer service tasks. Here, you will learn the uses and benefits of artificial intelligence, and explain how it is changing the way travel companies operate. The concept of artificial intelligence, or AI, is often discussed, but can be slightly more difficult to define. Essentially, it refers to computers or machines performing tasks that would normally require human intelligence to carry out.

TECHNOLOGICAL innovations, artificial intelligence, virtual reality may be changing the landscape of the tourism industry, but the Filipino brand of hospitality and customer service will never go out of style. This was the message of Undersecretary for Tourism Regulation, Coordination and Resource Generation (TRCRG) Arturo Boncato Jr. of the Department of Tourism (DOT) in his keynote address at the recent 5th Tourism Human Resource Congress in Baguio City. "Tourism is bigger than artificial intelligence. Tourism is bigger than robotics. The quest for quality is something that only human beings could give," he stressed.