Which metric would you use to evaluate a recommendation system?

Practice Questions

Q1
Which metric would you use to evaluate a recommendation system?
  1. Mean Squared Error
  2. Precision at K
  3. F1 Score
  4. Recall

Questions & Step-by-Step Solutions

Which metric would you use to evaluate a recommendation system?
  • Step 1: Understand what a recommendation system does. It suggests items to users based on their preferences.
  • Step 2: Learn about evaluation metrics. These are ways to measure how well the recommendation system is performing.
  • Step 3: Know that 'Precision at K' is one of these metrics. It tells you how many of the top K recommended items are actually relevant to the user.
  • Step 4: Realize that a higher Precision at K means the recommendation system is doing a better job of suggesting items that users like.
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