Recommender Systems Complete Course Beginner to Advanced - Project 1: Song Recommendation System Using Content-Based Fil

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Information Technology (IT), Architecture
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7 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the primary purpose of the content-based recommender function discussed in the video?
To recommend songs based on user ratings
To find the closest title and calculate a distance score
To sort songs alphabetically
To filter songs by genre
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What happens when the distance score equals 100 in the content-based recommender?
The song is considered similar
The song is marked as a favorite
The song is removed from the list
The song is ignored
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which function is used to filter the list of similar songs?
Sort function
Lambda function
Reduce function
Map function
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the role of the similarity matrix in the content-based recommender?
To sort songs by popularity
To calculate the distance score
To convert song titles to lowercase
To create a list of similar songs
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What was the small error mentioned in the video regarding the content-based recommender?
An incorrect song title
A mismatch in the score variable
A missing import statement
A typo in the function name
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What additional step is necessary for the TF IDF matrix in the content-based recommender?
Convert it to a dense matrix
Convert it to a sparse matrix
Transpose the matrix
Normalize the values
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the next type of filtering discussed after content-based filtering?
Popularity-based filtering
Time-based filtering
Collaborative filtering
Genre-based filtering
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