# Airbnb New User Bookings — Data

来源：https://www.kaggle.com/competitions/airbnb-recruiting-new-user-bookings/data

本地 Meta Kaggle 快照；不是本次实时页面。

# Dataset Description

<p>In this challenge, you are given a list of users along with their demographics, web session records, and some summary statistics. You are asked to predict which country a new user's first booking destination will be. All the users in this dataset are from the USA.</p>
<p>There are 12 possible outcomes of the destination country: 'US', 'FR', 'CA', 'GB', 'ES', 'IT', 'PT', 'NL',<span style="font-size: 1em; line-height: 1.5em;">'DE', 'AU', 'NDF' (no destination found), and 'other'. Please note that 'NDF' is different from 'other' because 'other' means there was a booking, but is to a country not included in the list, while 'NDF' means there wasn't a booking.</span></p>
<p>The training and test sets are split by dates. In the test set, you will predict all the new users with first activities after <strong>7/1/2014 (note: this is updated on 12/5/15 when the competition restarted)</strong>. In the sessions dataset, the data only dates back to 1/1/2014, while the users dataset dates back to 2010. </p>
<h2>File descriptions</h2>
<ul>
<li><strong>train_users.csv</strong> - the training set of users</li>
<li><strong>test_users.csv</strong> - the test set of users</li>
<ul>
<li>id: user id</li>
<li>date_account_created: the date of account creation</li>
<li>timestamp_first_active: timestamp of the first activity, note that it can be earlier than date_account_created or date_first_booking because a user can search before signing up</li>
<li>date_first_booking: date of first booking</li>
<li>gender</li>
<li>age</li>
<li>signup_method</li>
<li>signup_flow: the page a user came to signup up from</li>
<li>language: international language preference</li>
<li>affiliate_channel: what kind of paid marketing</li>
<li>affiliate_provider: where the marketing is e.g. google, craigslist, other</li>
<li>first_affiliate_tracked: whats the first marketing the user interacted with before the signing up</li>
<li>signup_app</li>
<li>first_device_type</li>
<li>first_browser</li>
<li>country_destination: this is the <strong>target variable</strong> you are to predict</li>
</ul>
<li><strong>sessions.csv</strong> - web sessions log for users</li>
<ul>
<li>user_id: to be joined with the column 'id' in users table</li>
<li>action</li>
<li>action_type</li>
<li>action_detail</li>
<li>device_type</li>
<li>secs_elapsed</li>
</ul>
<li><strong>countries.csv </strong>- summary statistics of destination countries in this dataset and their locations</li>
<li><strong>age_gender_bkts.csv</strong> - summary statistics of users' age group, gender, country of destination</li>
<li><strong>sample_submission.csv</strong> - correct format for submitting your predictions</li>
</ul>