Recommender Systems Concepts and Challenges

Recommender Systems Concepts and Challenges

Assessment

Interactive Video

Science

8th Grade

Practice Problem

Hard

Created by

Wayground Resource Sheets

FREE Resource

8 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the main purpose of a recommender system?

To create new movies

To help people find new things based on information and social ratings

To store large amounts of data

To translate languages

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which programming language and tool are used to build the movie recommender system?

Java and Eclipse

C++ and Visual Studio

Python and Google Colaboratory

Ruby and GitHub

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

To get more reliable generic movie recommendations, what step did the presenter take after noticing many movies had perfect 5.0 ratings from only one person?

He asked his friend John Greenbot for his opinion

He filtered the movies to include only those with at least a certain number of ratings

He removed all movies with a 5.0 rating

He changed the rating scale from 1-5 to 1-10

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the "cold-start problem" for a recommender system?

The system recommends movies that are too old

The system cannot make personalized recommendations without enough user data

The system takes too long to load

The system recommends movies that are not popular

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the primary purpose of the AI being programmed?

To categorize movies by genre

To provide personalized movie recommendations

To analyze movie production budgets

To create new movie scripts

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a likely outcome when the AI uses a small neighborhood size for recommendations?

It will recommend only very popular movies

It will suggest more surprising or obscure movies

It will consider many people with diverse tastes

It will have more data to make accurate predictions

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a likely outcome when the AI uses a large neighborhood size for recommendations?

It will recommend movies tailored to individual interests

It will suggest movies that are generally popular and widely known

It will have less data to make predictions

It will only consider people with very similar movie tastes

8.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

When creating a combined "Jabril-Green-Bot Hybrid" profile, how are ratings for a movie handled if both Jabril and John-Green-Bot have rated it?

The higher of the two ratings is chosen

The lower of the two ratings is chosen

The average of their ratings is used

The movie is excluded from the recommendations