Predicting Airbnb Rental Prices Using Multiple Feature Modalities

2021/12/13 by Aditya Ahuja, Ahuja, Aditya, Aditya Lahiri +3
Business, Management and Accounting · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Sharing Economy and Platforms

paper · pdf · doi:10.48550/arxiv.2112.06430

openalex publication_date 2021/12/13 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

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.

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