Recommender Systems Complete Course Beginner to Advanced - Basics of Recommender System: Online Evaluation Techniques

Recommender Systems Complete Course Beginner to Advanced - Basics of Recommender System: Online Evaluation Techniques

Assessment

Interactive Video

Information Technology (IT), Architecture, Business

University

Hard

Created by

Quizizz Content

FREE Resource

The video tutorial discusses evaluation techniques for recommender systems, focusing on online and offline methods. Online evaluation includes direct user feedback, AB testing, and controlled experimentation, each with its own challenges and benefits. Crowdsourcing is also explored as a method to gather user input. The tutorial concludes with a brief introduction to offline evaluation techniques.

Read more

7 questions

Show all answers

1.

OPEN ENDED QUESTION

3 mins • 1 pt

What are the two main types of evaluation methodologies mentioned in the text?

Evaluate responses using AI:

OFF

2.

OPEN ENDED QUESTION

3 mins • 1 pt

Describe the direct user focused feedback technique and its two major problems.

Evaluate responses using AI:

OFF

3.

OPEN ENDED QUESTION

3 mins • 1 pt

Explain the concept of AB testing as described in the text.

Evaluate responses using AI:

OFF

4.

OPEN ENDED QUESTION

3 mins • 1 pt

What is the main issue with controlled experimentation in evaluation techniques?

Evaluate responses using AI:

OFF

5.

OPEN ENDED QUESTION

3 mins • 1 pt

How does crowdsourcing contribute to evaluation techniques?

Evaluate responses using AI:

OFF

6.

OPEN ENDED QUESTION

3 mins • 1 pt

What are the advantages of using online evaluation techniques for recommender systems?

Evaluate responses using AI:

OFF

7.

OPEN ENDED QUESTION

3 mins • 1 pt

What will be discussed next after online evaluation techniques?

Evaluate responses using AI:

OFF