With over 150 million worldwide users, Airbnb is the one of the most popular sites when it comes to holiday rentals. And if you're struggling to book out your room, a new study suggests you may want to reassess your profile photo. Researchers from the University of York tested various profile photos to see which garnered the most bookings. Their findings suggest that profile pictures showing the host smiling and wearing sunglasses are the most successful – while female hosts also get more bookings. Researchers from the University of York tested various profile photos to see which garnered the most bookings.
Machine Learning is playing an important role in hospitality management with major focus on food and accommodation. It is because these two sectors are rapidly changing with time, challenging the industry to be proactive and meet the demand of users with minimal efforts. With the applications of ML the hotel owners are now able to deliver superior services. The implementation of ML in food industry and accommodation businesses is moving the industry to a new level, enabling lower costs for storage and transportation and more importantly producing less waste. The costs for storage and transportation is nowadays reduced to a significant level followed by happy customers, quick service, voice searching, and more personalized orders.
Aidan Connolly is the President of AgriTech Capital, a food/farm futurologist, and author of "2-1-4-3, Plan your Explosive Business Growth," Described as the world's least digitized industry by McKinsey analysts (joint last position with hunting), the food producers of the world could only agree that agriculture has struggled to avail of the breakthroughs in technology that have transformed other industries. Uber has disrupted transportation, Netflix the movies, Airbnb the hotel business, online money movers who hold no cash now dominate banking and we purchase apps from companies who don't make them. Yet, farming seems to have changed little in the 10,000 years since the first animals were domesticated, and many believe that it will change little in the coming decades. However, I contend that this view is myopic and fails to recognize the degree of disruption already happening in farming. Sean Moffitt, managing director of Futureproofing, listed the 30 new technologies that both are currently seeing the greatest dollar investments and that industries will require to futureproof themselves for the next decade.
Sender-receiver interactions, and specifically persuasion games, are widely researched in economic modeling and artificial intelligence, and serve as a solid foundation for powerful applications. However, in the classic persuasion games setting, the messages sent from the expert to the decision-maker are abstract or well-structured application-specific signals rather than natural (human) language messages, although natural language is a very common communication signal in real-world persuasion setups. This paper addresses the use of natural language in persuasion games, exploring its impact on the decisions made by the players and aiming to construct effective models for the prediction of these decisions. For this purpose, we conduct an online repeated interaction experiment. At each trial of the interaction, an informed expert aims to sell an uninformed decision-maker a vacation in a hotel, by sending her a review that describes the hotel. While the expert is exposed to several scored reviews, the decision-maker observes only the single review sent by the expert, and her payoff in case she chooses to take the hotel is a random draw from the review score distribution available to the expert only. The expert’s payoff, in turn, depends on the number of times the decision-maker chooses the hotel. We also compare the behavioral patterns in this experiment to the equivalent patterns in similar experiments where the communication is based on the numerical values of the reviews rather than the reviews’ text, and observe substantial differences which can be explained through an equilibrium analysis of the game. We consider a number of modeling approaches for our verbal communication setup, differing from each other in the model type (deep neural network (DNN) vs. linear classifier), the type of features used by the model (textual, behavioral or both) and the source of the textual features (DNN-based vs. hand-crafted). Our results demonstrate that given a prefix of the interaction sequence, our models can predict the future decisions of the decision-maker, particularly when a sequential modeling approach and hand-crafted textual features are applied. Further analysis of the hand-crafted textual features allows us to make initial observations about the aspects of text that drive decision making in our setup.
Aesthetics is what happens when our brains interact with content and go, "ooh pretty, give me more of that please." Whether it's a starry night or The Starry Night, the sound of a scenic seashore or the latest single from Megan Thee Stallion, understanding how the sensory experiences that scintillate us most deeply do so has spawned an entire branch of philosophy studying art, in all its forms, as well as how it is devised, produced and consumed. While what constitutes "good" art varies between people as much as what constitutes porn, the appreciation of life's finer things is an intrinsically human endeavor (sorry, Suda) -- or at least it was until we taught computers how to do it too. The study of computational aesthetics seeks to quantify beauty as expressed in human creative endeavors, essentially using mathematical formulas and machine learning algorithms to appraise a specific piece based on existing criteria, reaching (hopefully) an equivalent opinion to that of a human performing the same inspection. This field was founded in the early 1930s when American mathematician George David Birkhoff devised his theory of aesthetics, M O/C, where M is the aesthetic measure (think, a numerical score), O is order and C is complexity.
Webomaze Technologies, Co-Founded by Ravi and Vinika, is the first choice of customers while looking for SEO Services. A few years back, AI in hospitality was merely a dream. But now, it is unfolding many hidden revenue opportunities. The global smart hospitality market is expanding incredibly fast, and is expected to reach USD 44.38 billion by 2026. What is so special about this? With Covid in the picture for so long, you can't ignore the importance of contactless deliveries.
Airbnb is making it easier for international travelers to book their stays just as the U.S. reopens its borders to foreign travelers. The short-term rental platform is introducing a translation engine that will automatically translate reviews and listing descriptions in over 60 languages. The feature is set to launch before the end of the year. "Translation Engine improves the quality of more than 99% of Airbnb listings," the company said in a Tuesday news release. "Translation Engine uses millions of Airbnb data points to improve translations, so it will get even smarter over time as it learns from new content that's submitted."
Question1: How are the prices affected by time? Interesting fact is that the range of the prices for the listings starts with 11$ and can reach up to 7163$ per night. The most expensive one on the list has around 195 positive reviews. From the figure above, we can conclude that the average price in Boston is the highest by the end of August and September till it starts to low down again from October till December. There is not enough data to better confirm but it looks like the listing price drops between November and February and starts raising up again in March.
The Egencia (an Expedia Group company) data science team builds AI into its platform in various different ways to create experiences that are personalized for travelers and travel managers. One of our approaches is to personalize flight and hotel search results for travelers who book on our platform. Recently, we've published how the Egencia Smart Mix Flight ranking model has helped personalize flight search results. Below, we discuss Egencia's personalized Smart Mix Lodging ranking model that enhances user experience and efficiency in hotel search, as well as booking. Egencia's hotel search UI provides users with the flexibility to set their preferences in a variety of ways, such as in-policy rates, price range, minimum star rating, amenities, etc.
Imagine a driverless bus that stopped just for you and was configured exactly how you needed it. That's the concept behind the Citroën Skate, the French automaker's newly unveiled autonomous electric vehicle, which comes with three interchangeable'pods' that can be swapped up in as little as 10 seconds. One pod, branded with French luxury hotel chain Sofitel, looks and feels like a luxurious hotel lobby banquette, while another is a fitness-oriented transport with a built-in rowing machine. The Citroën Skate is designed to move in a dedicated lane, but its omnidirectional Eagle 360 wheels and spherical Goodyear tires allow it to move in any direction. The vehicle's hydraulic suspension should keep passengers from feeling the jostles and bumps of the road.