Recommender Systems with Machine Learning - Quiz Solution-2
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Information Technology (IT), Architecture, Business
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University
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Hard
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5 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
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
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which component of a recommender system is responsible for assigning scores to items?
User feedback
Scoring system
Re-ranking system
Candidate generation
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
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
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What does the re-ranking system take into account to produce the final ranking?
Additional constraints
User preferences
Item popularity
System performance
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which component might adjust the ranking based on additional factors?
Re-ranking system
Scoring system
Candidate generation
User interface
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