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Expedia is the worlds largest online travel agency ota and powers search results for millions of travel shoppers every day.
Travel cubes near me. In this competitive market matching users to hotel inventory is very important since users easily jump from website to website. The id of the country the customer is located. Kaggle expedia hotel recommendations predictive modeling using random forests of the hotel cluster that a expedia user will most likely to book based on their search parameters.
The mean star rating of hotels the customer has previously purchased. Null signifies there is no purchase history on the customer. The data in this repo is the reduced data that contains only 10 cluster ids.
In this competition expedia is challenging kagglers to contextualize customer data and predict the likelihood a user will stay at 100 different hotel groups. Currently expedia uses search parameters to adjust their hotel recommendations but there arent enough customer specific data to personalize them for each user.
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