Recommenders
Update recommender
Update the name and settings (filters) of an existing Spark recommender. Returns the updated list of recommenders.
PUT
string
required
The unique identifier of the recommender to update.
string
Optional human-readable name of the recommender. Max 191 characters.
string[]
List of product identifiers (SKUs) to exclude from the recommendations. Max 1000 items, each unique and max 255 characters. Omit the field for no product filter.
string[]
List of category names to exclude from the recommendations. Max 1000 items, each unique and max 255 characters. Omit the field for no category filter.
integer[]
List of calendar month numbers (
1–12) that restrict which purchase history is used for training. Values must be unique, max 12 items. Omit the field to use the full purchase history.Only
name and the settings filters can be changed. recommender_id, sequence_number, shop_id and feed_id are immutable, and status / last_trained_timestamp are managed by the training pipeline. An unknown recommender_id returns a 404 error.