12.2. Recommendation Systems and Profiles

Try these first

1. 1.

   What is a recommendation system?

   Hint

   Think about websites that suggest what to buy based on your previous choices.

2. 2.

   Define user profile.

   Hint

   Remember what information is stored for personalized suggestions.

3. 3.

   What does a recommendation system do?

   • Provides unrelated content
   • Suggests products based on user profiles
   • Eliminates user preferences

   Hint

   Think about how platforms like Amazon or Netflix suggest items.

4. 4.

   True or False: An inversion means that two users have the same ranking.

   • True
   • False

   Hint

   Recall what an inversion signifies in rankings.

5. 5.

   Design a simple algorithm that uses inversion counting to recommend products to a new user based on a small set of user profiles.

   Hint

   Consider how to implement the comparison efficiently.

6. 6.

   Critique the effectiveness of using inversions as the only metric for recommendations. Are there situations where this method might fail?

   Hint

   Think about how other factors could impact a user's decision.