Airbnb New User Bookings

Where will a new guest book their first travel experience?

This task was published on Kaggle Competition. Please read details on original source.

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.

There are 12 possible outcomes of the destination country: 'US', 'FR', 'CA', 'GB', 'ES', 'IT', 'PT', 'NL','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.

File descriptions

• train_users.csv
  • the training set of users
• test_users.csv
  • the test set of users
• • id: user id
  • date_account_created: the date of account creation
  • 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
  • date_first_booking: date of first booking
  • gender
  • age
  • signup_method
  • signup_flow: the page a user came to signup up from
  • language: international language preference
  • affiliate_channel: what kind of paid marketing
  • affiliate_provider: where the marketing is e.g. google, craigslist, other
  • first_affiliate_tracked: whats the first marketing the user interacted with before the signing up
  • signup_app
  • first_device_type
  • first_browser
  • country_destination: this is the target variable you are to predict
• sessions.csv
  • web sessions log for users
• • user_id: to be joined with the column 'id' in users table
  • action
  • action_type
  • action_detail
  • device_type
  • secs_elapsed
• countries.csv
  • summary statistics of destination countries in this dataset and their locations
• age_gender_bkts.csv
  • summary statistics of users' age group, gender, country of destination
• sample_submission.csv
  • correct format for submitting your predictions