Predicting Airbnb Rental Prices Using Multiple Feature Modalities
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Abstract (arXiv)
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.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 4 of its 13 references that are in the map. First posted on arXiv 13 Dec 2021.
Builds on
4 of 13 references.
References · 4
- 2016XGBoost: A Scalable Tree Boosting Systemcited by 5,166
- 2014Deep Learning in Neural Networks: An Overviewcited by 770
- 2019Airbnb Price Prediction Using Machine Learning and Sentiment Analysiscited by 6
- 2018Clustering to Reduce Spatial Data Set Sizecited by 1
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Citing papers per year: 2023: 1.
1 paper.