Recommender Systems with Machine Learning - Quiz Solution-2

What is the primary role of candidate generation in recommender systems?

• To finalize the ranking of items

• To assign scores to each item

• To create smaller subsets of candidates for recommendation

• To generate a large pool of items

Which component of a recommender system is responsible for assigning scores to items?

• User feedback

• Scoring system

• Re-ranking system

• Candidate generation

Why is it important to standardize items in the scoring system?

• To reduce the complexity of the system

• To eliminate the need for re-ranking

• To ensure fair scoring across all items

• To increase the number of items

What does the re-ranking system take into account to produce the final ranking?

• Additional constraints

• User preferences

• Item popularity

• System performance

Which component might adjust the ranking based on additional factors?

• Re-ranking system

• Scoring system

• Candidate generation

• User interface