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

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

Assessment

Interactive Video

Information Technology (IT), Architecture

University

Hard

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The video tutorial covers the development of a content-based recommender system for songs. It begins with setting up the function and proceeds to explain the logic for finding the closest title and calculating the distance score. The tutorial then demonstrates how to generate a list of similar songs using a similarity matrix, followed by filtering and sorting these songs. The video concludes with printing the results and addressing minor code errors. Finally, it introduces the concept of collaborative filtering as the next topic.

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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