Practice Explainable Recommendations - 11.9.4 | 11. Recommender Systems | Data Science Advance
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Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is explainable recommendations?

💡 Hint: Think about the purpose of recommendations in aiding decision-making.

Question 2

Easy

Give an example of rule-based explanations.

💡 Hint: Consider how systems connect previous choices to new suggestions.

Practice 4 more questions and get performance evaluation

Interactive Quizzes

Engage in quick quizzes to reinforce what you've learned and check your comprehension.

Question 1

What is the main benefit of explainable recommendations?

  • Increased sales
  • Greater user trust
  • Faster algorithm performance

💡 Hint: Consider the role of understanding in the decision-making process.

Question 2

True or False: Feature highlighting involves showing how other users have liked an item.

  • True
  • False

💡 Hint: Think about what 'feature' means in this context.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Create an explainable recommendation for a music streaming service based on user preferences and behaviors.

💡 Hint: Think deeply about the connections that can be made between past user behavior and their current suggestions.

Question 2

Discuss how a lack of explainable recommendations could potentially harm user satisfaction in a shopping website.

💡 Hint: Reflect on personal experiences with apps that made recommendations without clarification.

Challenge and get performance evaluation