How YouTube knows what you should watch: Crash Course AI #15

What is the main goal of a recommender system?

• To make computers faster

• To help people find new things they might like

• To create new types of robots

• To teach computers how to talk

What is a challenge with content-based recommendations?

• They only recommend very old videos

• They don't consider what other people like

• Someone has to decide what is good content

• They only recommend videos from one channel

Which type of recommendation system uses how many people like or watch something to suggest it?

• Content-based recommendations

• Personalized recommendations

• Social recommendations

• Unsupervised learning

What does collaborative filtering do to recommend things?

• It only looks at what one person has watched before

• It combines different ways of recommending things to find similar users or content

• It only recommends videos that are very new

• It asks a human to choose what to recommend

How do online stores suggest products you might like?

• They guess what you want.

• They use information from what you and similar people have liked before.

• They show you the newest products.

• They only show you products that are on sale.

Why is it hard for a computer program to make good suggestions if it doesn't have much information about what people like?

• It takes too much time to find the missing information.

• It costs a lot of money to process small amounts of data.

• It's difficult to make good guesses with very little data.

• The computer program might break down.

What is it called when a new user visits a website for the first time and the website can't give them good suggestions?

• The new user problem.

• The empty data problem.

• The cold start problem.

• The first-time visitor issue.

What happens when online recommendations only show you ideas and opinions that are similar to your own?

• You learn more about different ideas.

• You get stuck in an "echo chamber."

• You see a wider variety of information.

• You become an expert on many topics.