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AI & Machine Learning · Intermediate

Collaborative Filtering

Recommending items based on the preferences of similar users or similarity between items in interaction data.

Definition

Collaborative filtering mines user-item interactions such as ratings, clicks and purchases, often via matrix factorization or neural embeddings. It needs no item metadata but struggles with new users and items that have no interaction history (cold start).

Exam tip

Users who bought X also bought Y is collaborative filtering.

Related terms