Hotels


Find out how much money you could be getting for your place on Airbnb

Mashable

Thinking of renting out your spare room on Airbnb to strangers to earn some sweet, sweet cash? For this reason, data scientists at Silicon Valley start-up Eliot & Me have launched an AI-powered calculator that takes into account more specific details to determine the most accurate renting price for your Airbnb listings. After crunching the data, Eliot will churn out the average daily and weekly renting prices for the past year. Eliot also offers separate rates for each month by taking into account busiest dates, specific weeks of high demand, and historical trends.


Insights from Data mining of Airbnb Listings

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We can see that Dallas and Fort Worth area sit at the top in terms of property density, closely followed by Houston and Austin. This is a technique used in text mining to uncover latent pattern in large collections of textual data. Essentially, topic modelling finds topics that are created by group of words present in large collection of text -- words constitute topics and topics create documents. In this study we performed spatial analysis by plotting data on the map of Texas with respect to property density and pricing.


Using Machine Learning to Predict Value of Homes On Airbnb

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For example, our ML Infra team built a general feature repository that allows users to leverage high quality, vetted, reusable features in their models. Additionally, ML infra created a new framework that will automatically translate Jupyter notebooks into Airflow pipelines. Data scientists are typically accustomed to machine learning related tasks such as feature engineering, prototyping, and model selection. At Airbnb, we built a framework called ML Automator that automagically translates a Jupyter notebook into an Airflow machine learning pipeline.


Breaking Through the Machine-Learning Hype

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While companies like Airbnb, sitting on huge cash reserves may find it easy to invest and experiment with these technologies, there's a popular perception that businesses with smaller budgets would find this difficult. Google's machine learning team has developed a technology called TensorFlow, which is a framework to implement machine learning at scale. Microsoft is another player in this market, providing a service called Azure Machine Learning Studio. On top of these three big corporations, there's a wide array of smaller startups providing machine learning services, among them BigML, MLJar and Algorithms.


Instagram turns to machine learning, Airbnb's rumored luxury rentals - Video

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Instagram turns to machine learning, Airbnb's rumored luxury rentals Today's top tech stories include Instagram's machine learning program that aims to block out offensive comments and Airbnb's rumored luxury rental service. Plus Apple's new OS gets previewed. Instagram turns to machine learning, Airbnb's rumored luxury rentals


AI, Machine Learning and Sentiment Analysis Applied to Finance – Millennium Hotel London Mayfair

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Artificial Intelligence, Machine Learning and Sentiment Analysis are changing the way in which numerous client services are offered. This trend is now being taken on board by multiple innovators: academia, start-ups, technology companies and financial market participants. AI and Machine Learning have emerged as a central aspect of analytics which is applied to multiple domains. AI and Machine Learning, Pattern classifiers and natural language processing (NLP) underpin Sentiment Analysis (SA); SA is a technology that makes rapid assessment of the sentiments expressed in news releases as well as other media sources such as Twitter and blogs.


Airbnb's Biggest Weapon Against Hotels: Machine Learning

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The company would prefer to also offer a booking experience that users will find more congenial and convenient. Consumers navigating a platform like Airbnb experience a catch-22, said Fontana: "Marketplaces are most useful when they have a lot of volume, because you can find exactly what you want, but marketplaces are also the most time-consuming and annoying when they have the most volume." One of the primary success metrics is the platform's conversion rate -- how many people make a booking. Curtis did reveal that introducing a deep neural net to the search-ranking system boosted Airbnb's recent conversion rate by 1 percent.


Flipboard on Flipboard

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The company would prefer to also offer a booking experience that users will find more congenial and convenient. Consumers navigating a platform like Airbnb experience a catch-22, said Fontana: "Marketplaces are most useful when they have a lot of volume, because you can find exactly what you want, but marketplaces are also the most time-consuming and annoying when they have the most volume." One of the primary success metrics is the platform's conversion rate -- how many people make a booking. Curtis did reveal that introducing a deep neural net to the search-ranking system boosted Airbnb's existing conversion rate by 1 percent.


Machine learning is driving growth at Airbnb

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It also uses host preferences to personalize search results for guests, promoting hosts likely to accept the accommodation request. This facilitates the arduous pricing process of looking at supply and demand in an area, among other market factors, and gives hosts a base to price from. It also uses host preferences to personalize search results for guests, promoting hosts likely to accept the accommodation request. This facilitates the arduous pricing process of looking at supply and demand in an area, among other market factors, and gives hosts a base to price from.


7 ways AI will revolutionize business travel

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Hilton Worldwide contact centers are using AI and machine learning in hopes of creating a better customer experience, according to Andy Traba, VP of Behaviorial and Data Science for Mattersight, a behavioral routing software service Hilton is using. "When a business customer calls a Hilton hotel, Mattersight matches their data and analyzes their personality and behavior traits in less than five seconds," Traba explains. For example, Concur (developer of TripIt) has developed a chatbot for collaboration app Slack, enabling users to request information about their travel plans and submit expenses via Slack using a conversational interface, says Tim MacDonald, EVP of Global Products at Concur. We're excited to test what it means to bring voice-activated technology into the guest room, so guests can request services, learn about the local area, and perform general informational tasks like asking for the weather or setting an alarm for the next morning."