What it does

Collaborative filtering recommends things by looking at people with tastes like yours.

Neighbor: Someone with similar taste • Preference: What a user likes

How it works

  • Look at what you liked before.
  • Find other people who liked similar things.
  • Suggest things those people liked that you have not tried yet.

Uses & Applications

  • Netflix can recommend shows liked by people with similar taste.
  • Spotify can suggest songs that similar listeners enjoyed.
  • An online shop can suggest items bought by people who bought similar products.
In short

It is like trusting a friend with similar taste.

Try it yourself

Find your next movie

People who like the same movie as you may also like other movies you would enjoy.

Your turn

Change one setting at a time. Reset example puts everything back.

Recommend from similar tastes

Step 1
Why this happens

Look closer at the numbers
Numbers used in this example