Table: Training Data User Feature

The ml_reco__training_data_user_feature table contains the user features used during the Two Tower training.

Table description

name	data_type	description
user_id		Unique identifier for a user.
consult_offer		The total number of items consulted by the user.
booking_cnt		Total number of bookings, both individual and collective.
user_theoretical_remaining_credit		Total theoretical remaining credit for the user.
has_added_offer_to_favorites		Boolean. Indicates if the user has added any offer to their favorites.
user_queries		The search query associated with the event, if applicable.
qpi_subcategory_ids		QPI stands for 'Initial Practice Questionnaires'. We asked young users about their cultural practices before using the Pass, resulting in a list of subcategories used during the cold start to display offers based on these initial practices.