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instacart-recommender

Predicting users reorders. Kaggle

Data can be found here.

LightGBM recommender

Credit: https://www.kaggle.com/paulantoine/light-gbm-benchmark-0-3692
  • Local score: 0.310
  • Public score: 0.37977
  • Private score: 0.37967

Features

User features

  • user_total_orders
  • user_total_items
  • total_distinct_items
  • user_average_days_between_orders
  • user_average_basket

Product features

  • product_orders
  • product_reorders
  • product_reorder_rate

Order features

  • aisle_id
  • department_id
  • order_hour_of_day
  • days_since_prior_order
  • days_since_ratio

User-product features

  • UP_orders
  • UP_orders_ratio
  • UP_average_pos_in_cart
  • UP_reorder_rate
  • UP_orders_since_last
  • UP_delta_hour_vs_last
  • UP_total_buys_n5

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Predicting user reorders on instacart platform

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