PySpark and AWS: Master Big Data with PySpark and AWS - Utility Matrix

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Information Technology (IT), Architecture, Performing Arts
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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 purpose of a utility matrix in the context of recommender systems?
To store user preferences for various items
To display advertisements to users
To calculate the total sales of products
To manage user accounts and passwords
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How does a recommender system predict a user's rating for an unwatched movie?
By asking the user directly
By randomly assigning a rating
By considering the user's previous ratings and similar users' feedback
By using the average rating of the movie
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which of the following is NOT a criterion used to predict ratings in a utility matrix?
Feedback from other users
User's age
Average rating of the movie
User's previous ratings
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the main goal of a recommender system after filling the utility matrix?
To increase the number of users
To suggest the highest-rated unwatched movies to the user
To delete low-rated movies
To reduce the number of available movies
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
In what way do e-commerce websites utilize recommender systems?
To manage inventory levels
To suggest products based on user preferences and past purchases
To track user locations
To provide customer support
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