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AI & Machine Learning · Intermediate

Recommendation System

A system that predicts items a user is likely to want, based on behavior, item attributes or both.

Definition

Recommenders use collaborative filtering (patterns across users), content-based filtering (item features), or hybrid approaches, often with embeddings and two-tower neural models. Cold-start for new users or items is a key challenge. Managed options include Amazon Personalize and Vertex AI Search for commerce.

Example

Suggesting movies based on what similar viewers watched.

Exam tip

Content-based filtering handles the cold-start item problem better than collaborative filtering.

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