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- W4229058734 abstract "People who rent their homes through Airbnb find it hard to figure out how much they should charge for them. They have to figure out how many people they can put in each home. Other than that, customers have to figure out the price of a home or apartment based on what they know about that home or apartment and what it has to offer them. A price prediction model is used with machine learning algorithms to add value for both the customer and the person who owns it in this study. To figure out the right price, I'll look at different features of the rentals and the traits of the owner. To make better predictions, I will also look at the reviews of different customers. To do this, I will use a lot of different techniques, like linear regression, tree-based models and the SVM technique." @default.
- W4229058734 created "2022-05-08" @default.
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- W4229058734 date "2022-03-20" @default.
- W4229058734 modified "2023-10-17" @default.
- W4229058734 title "A Survey On Price Prediction Model for Airbnb listing using Machine Learning" @default.
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- W4229058734 doi "https://doi.org/10.32628/ijsrset229228" @default.
- W4229058734 hasPublicationYear "2022" @default.
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