AIrbnb   5356

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Listing Embeddings for Similar Listing Recommendations and Real-time Personalization in Search
home2vec - using negative sampling to learning embeddings of listings from search sessions. The embeddings appear to encode features like location, price, and architecture style. They are used to show similar listings and for real-time personalisation.
airbnb  embedding 
3 days ago by foodbaby
The value of a great

If you haven't tried have $50 credit on me ->
Airbnb  from twitter
4 days ago by nigeljames
Vacation Rentals, Homes, Experiences & Places - Airbnb
The value of a great

If you haven't tried have $50 credit on me ->
Airbnb  from twitter
4 days ago by nigeljames
Coliving & Coworking | Roam
We'll make sure that when you live with us, you'll always have a strong and battle-tested connection to whatever you need to accomplish, even if it's on the other side of the planet. - via Olivia
airbnb  new-companies  ti  futureofwork 
6 days ago by dancall
Using Machine Learning to Predict Value of Homes On Airbnb
First, the cost of model development is significantly lower: by combining disparate strengths from individual tools: Zipline for feature engineering, Pipeline for model prototyping, AutoML for model selection and benchmarking, and finally ML Automator for productionization, we have shortened the development cycle tremendously.
ML  AirBnB 
7 days ago by elrob
What Airbnb did to New York City's housing market • CityLab
Alastair Boone:
<p>To map this process, Wachsmuth and his team used estimates of Airbnb activity from <a href="">AirDNA</a>, a California-based firm that scrapes and analyzes Airbnb data. They studied Airbnb activity from September 2014 to August 2017, including more than 80 million data points, for the whole 20 million population of the New York City metro region. They also used a number of new spatial big-data methodologies developed specifically to analyze short-term rentals.

Their conclusion: Most of those rumors are true. Wachsmuth found reason to believe that Airbnb has indeed raised rents, removed housing from the rental market, and fueled gentrification—at least in New York City. To figure out how, the researchers mapped out four key categories of Airbnb’s impact in New York: where Airbnb is concentrated and how that’s changing; which hosts make the most money; whether it’s driving gentrification in the city; and how much housing it has removed from the rental market.

The phrase “home sharing” evokes an image of an individual who opens their home and rents out their extra space to wanderlust-y strangers. This is, after all, how Airbnb got its start: Struggling to make rent in San Francisco, founders Joe Gebbia and Brian Chesky started renting out floorspace in their living room and cooking breakfast for their guests in 2007. Today, it is worth some $30bn.

While many people still use the platform this way, Wachsmuth found that 12% of Airbnb hosts in New York City, or 6,200 of the city’s 50,500 total hosts, are commercial operators—that is, they have multiple entire-home listings, or control many private rooms. And these commercial operators earned 28% of New York’s Airbnb revenue (that’s $184m out of $657m).</p>
newyork  airbnb  housing 
7 days ago by charlesarthur
An executive’s guide to AI | McKinsey & Company
Staying ahead in the accelerating artificial-intelligence race requires executives to make nimble, informed decisions about where and how to employ AI in their business. One way to prepare to act quickly: know the AI essentials presented in this guide.
artificialintelligence  airbnb  ai 
11 days ago by brianyang
What Airbnb Did to New York City
"Airbnb’s effects on the city’s housing market have been dramatic, a report suggests. And other cities could soon see the same pattern."  nyc  rent  airbnb  airbnb_fail  business 
12 days ago by jimmykduong

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