As the digitization of travel industry accelerates, analyzing and understanding travelers' behaviors becomes increasingly important. However, traveler data frequently exhibit high data sparsity due to the relatively low frequency of user interactions with travel providers. Compounding this effect the multiplication of devices, accounts and platforms while browsing travel products online also leads to data dispersion. To deal with these challenges, probabilistic traveler matching can be used. Most existing solutions for user matching are not suitable for traveler matching as a traveler's browsing history is typically short and URLs in the travel industry are very heterogeneous with many tokens. To deal with these challenges, we propose the similarity based multi-view information fusion to learn a better user representation from URLs by treating the URLs as multi-view data. The experimental results show that the proposed multi-view user representation learning can take advantage of the complementary information from different views, highlight the key information in URLs and perform significantly better than other representation learning solutions for the user matching task.

This is part of Airplane Mode, a series on the business--and pleasure--of travel right now. I'm a travel agent, and when I sat down to write this article, there were 1,154 flight cancellations. Days like this used to be a once-a-year occurrence. A snowpocalypse would smother the entire East Coast or an airline's computer system would go down or a strike would happen. A week of misery would follow while the whole industry dug out.

Nothing is more popular than that which is easy. Modern-day consumers want maximum results with minimum effort. Across industries, providers are meeting the demand by offering almost anything on Earth through the effortless click of a button. In 2022, it is futuristically easy to acquire groceries, stocks, taxis and entertainment. In stark contrast, travel seems trapped in the 20th century.

One of the main ways that AI and ML can be used for travel hacking is by predicting and comparing prices for flights, hotels, and other travel accommodations. By analyzing past data on prices and demand, machine learning algorithms can predict the likelihood of price fluctuations and suggest the best time to book a trip. This can save travelers money and help them plan their trips more efficiently. AI and ML can also be used to make personalized recommendations for travel destinations and experiences based on an individual's preferences and past travel history. By analyzing a traveler's interests and past travel patterns, AI algorithms can suggest destinations and activities that are tailored to their interests and needs.

Something shifted in the last two weeks on the zeitgeist about the use of artificial intelligence in our daily personal and professional lives. The launch of the first large-scale, general purpose chatbot using OpenAI's GPT3 AI engine on November 30 has reenergized the whole tech industry all at once. I wrote a story on it which will give you a good sense why. To get an understanding of why there is so much buzz about Generative AI – the sub-sector with larger AI world which includes creation of text, images, audio and video – and what this means for our daily lives, for the travel industry and even travelers, I talked to the best expert analyst and writer on it I know, David Mattin. He writes an excellent newsletter called New World Same Humans on trends, technology, and our shared future and has been doing a deep dive into Generative AI all this year with his writings. This is a fascinating conversation you would want to listen to from start to finish, to understand the implications of it for our industry and indeed our daily lived reality. Ali: Welcome to the podcast, David. David Mattin, who I've known for many years. I used to know him when he was running trends and insight for TrendWatching, which is a trend watching consultancy called TrendWatching that we used to be good friends with. I've known the company for a while and since then he has started, he since left and started one new newsletter which David if you want to talk about, and in which you've been writing a lot about AI and its effect and a particular sub area of AI that we're going to talk about today. What it means for the travel industry and what it means for content creation of which is a huge part of the travel industry as well. I don't know if you'd like to be called that because I know a lot of folks don't like to be called that. The newsletter is called New World Same Humans and it's a newsletter about trends, technology, and our shared future and it really is underpinned by this idea that so much of the human story, our history, but also what's ahead of us, our shared future, is fueled by this collision between a changing world, often emerging technologies and fundamental human needs, this eternal shared nature we have that doesn't change, and it's in the collision of those two things, often in the collision of a new technology and a fundamental human need that our future emerges, that the human story emerges out of that.

As a service-based industry, the travel industry achieves its success on the experience level of customers. AI chatbot for travel industry enhances traveler experiences by delivering quick virtual support services. Bots can be used to provide travelers with a simple overview of flights and hotels available based on their criteria and booking option. A bot that can have both travel data and destination content would become a perfect travel companion. The travel bot would provide business travelers with information about their journey step by step.

Should artists be worried about AI art prompt programs like Midjourney and Dall-E?. “AI killed the artist?” is published by Joy Phillips.

Artificial intelligence (AI) is redefining the travel industry and assisting businesses in achieving their objectives. AI in the travel industry is continuing to provide cutting-edge services to travelers. Tour and travel companies are incorporating artificial intelligence to improve the traveler experience. AI-enabled apps assist users or travelers in automatically adjusting the prices of flights or rooms based on their needs. Travelers today rely on technology to keep them moving in their pursuit of preferences worldwide.

Artificial intelligence (AI) is transforming the travel industry by offering predictive analytics, tailored recommendations and live updates. The rapid development in AI has made almost all industries curious about this technology. AI is a branch of computer science that is explicitly programmed to create machines that can act intelligent and smarter than humans. With its incredible benefits, AI is offering path-breaking innovations to various industries. Apart from retail, healthcare, finance, and manufacturing, now the travel industry is transforming with AI.

Imagine you're planning a vacation for your family. You've spent a generous amount of time researching destinations, booking flights, securing a car rental, and finally, the hotel. After thoroughly researching all of your options, you settled on a property and pick up the phone. After a few rings, you hear a voice on the other end of the line, and you immediately tense up--a voice bot. What could have been a quick and painless phone call turns into a one-sided conversation that seems to take you in circles until finally, you're able to talk to a human on the other end of the line. In 2021, customers value a personal connection, but the convenience of a voice bot is hard to beat for some businesses that just don't have the manpower to handle their current call volume.