Recommender Systems with Machine Learning - Project Overview

Recommender Systems with Machine Learning - Project Overview

Assessment

Interactive Video

Information Technology (IT), Architecture, Social Studies

University

Hard

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The video tutorial introduces two projects: a song recommendation system using content-based filtering and a movie recommendation system using collaborative filtering. The instructor outlines the steps for each project, including data preparation, data insights, and building and testing recommendation engines. The video concludes with a transition to the next module on recommender systems.

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5 questions

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1.

OPEN ENDED QUESTION

3 mins • 1 pt

What is the first project mentioned in the text and what technique will be used?

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2.

OPEN ENDED QUESTION

3 mins • 1 pt

Describe the steps involved in the first project of Song's recommendation system.

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3.

OPEN ENDED QUESTION

3 mins • 1 pt

What is the significance of data preparation in both projects?

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4.

OPEN ENDED QUESTION

3 mins • 1 pt

What is the second project mentioned and what filtering technique will be used?

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5.

OPEN ENDED QUESTION

3 mins • 1 pt

List the steps that will be taken in the second project.

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