Recommendation Systems Quiz

Recommendation Systems Quiz

University

66 Qs

quiz-placeholder

Similar activities

APCSP Exam Review

APCSP Exam Review

9th Grade - University

63 Qs

H446 Section 1: Components of a computer

H446 Section 1: Components of a computer

11th Grade - University

71 Qs

Java

Java

University

65 Qs

Network Media

Network Media

University

62 Qs

Distributed Review

Distributed Review

University

63 Qs

QUIZ FINALS 101TEN

QUIZ FINALS 101TEN

University

70 Qs

Cambridge - IGCSE - Computer Science - Input Devices

Cambridge - IGCSE - Computer Science - Input Devices

11th Grade - Professional Development

66 Qs

GUESS THE EMOJI

GUESS THE EMOJI

12th Grade - University

64 Qs

Recommendation Systems Quiz

Recommendation Systems Quiz

Assessment

Quiz

Computers

University

Practice Problem

Hard

Created by

Ravneet Kaur

FREE Resource

AI

Enhance your content in a minute

Add similar questions
Adjust reading levels
Convert to real-world scenario
Translate activity
More...

66 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the purpose of recommendation systems according to the learning material?

To decrease company's profit

To increase company's profit

To collect user data

To provide entertainment to users

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How many users are there in the example provided for recommendation systems?

4

5

6

7

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How many items are there in the example provided for recommendation systems?

4

5

6

7

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does each user provide for the items in the recommendation system example?

A written review

A rating

A comment

A like or dislike

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the rating given by User 1 for Item 102?

2.0

2.5

3.0

5.0

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which item received a rating of 5.0 from User 3?

Item 101

Item 104

Item 105

Item 107

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the main aim of user-based recommendation algorithms?

To generate recommendations based on the highest rated items by all users

To generate recommendations for a target user 'u' by considering the preferences of all other users

To predict the total number of items a user will rate in the future

To provide a static list of popular items to every user

Access all questions and much more by creating a free account

Create resources

Host any resource

Get auto-graded reports

Google

Continue with Google

Email

Continue with Email

Classlink

Continue with Classlink

Clever

Continue with Clever

or continue with

Microsoft

Microsoft

Apple

Apple

Others

Others

Already have an account?