Recommend Items for User Stage

The Recommend Items for User query-pipeline stage uses signals about item choices to recommend other similar items for a specific user. Personalization for the user can be based on the user’s search history, browsing history, or purchase history, etc.

This pipeline stage uses items-for-user recommendations that have been precomputed by an ALS (Alternating Least Squares) Spark recommender.

See Collaborative Filtering for more information.

Prerequisites

Enable recommendations:

Before creating a Recommend Items for Item stage, enable recommendations.

Note: When you enable recommendations, Fusion creates a query pipeline that already contains this stage, and that is configured for boosting. The query pipeline is <collection>_items_for_user_recommendations.

Configuration

Tip
When entering configuration values in the UI, use unescaped characters, such as \t for the tab character. When entering configuration values in the API, use escaped characters, such as \\t for the tab character.