What is item-based collaborative filtering?

Item-based collaborative filtering recommends items similar to those a user has interacted with.

Instead of finding similar users, this approach computes similarity between items based on user interactions. It is more stable than user-based filtering because item relationships change less frequently. Similarity is often computed using cosine similarity or Pearson correlation on item vectors.