Recommendation Systems

Definition

Recommendation systems suggest actions, items, or next steps based on patterns in data. They use signals like behavior, similarity, context, and history. Recommendations can be personalized or rule constrained.

Business Context

Examples include recommending products, suggesting next best actions, prioritizing leads, or proposing content. In business tools, recommendations should be explainable and aligned with goals.

Why it Matters

They improve outcomes by guiding users toward higher value choices.