  Figuring out the price of a listed Airbnb rental is an important and
difficult task for both the host and the customer. For the former, it can
enable them to set a reasonable price without compromising on their profits.
For the customer, it helps understand the key drivers for price and also
provides them with similarly priced places. This price prediction regression
task can also have multiple downstream uses, such as in recommendation of
similar rentals based on price. We propose to use geolocation, temporal, visual
and natural language features to create a reliable and accurate price
prediction algorithm.
