Which approach in recommender systems involves recommending items by finding users who are similar to the target user?

  • Collaborative Filtering
  • Content-Based Filtering
  • Hybrid Filtering
  • Matrix Factorization
Collaborative Filtering is a recommendation approach that identifies users similar to the target user based on their interactions and recommends items liked by those similar users. It relies on user-user similarity for recommendations.
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