Beer recommendation system in R

Posted to Statistics  |  Tags: , ,  |  Nathan Yau

Using data from Beer Advocate, in the form of 1.5 million reviews, yhat shows how to build a recommendation system in R.

The goal for our system will be for a user to provide us with a beer that they know and love, and for us to recommend a new beer which they might like. To accomplish this, we’re going to use collaborative filtering. We’re going to compare 2 beers by ratings submitted by their common reviewers. Then, when one user writes similar reviews for two beers, we’ll then consider those two beers to be more similar to one another.

The simple recommender is at the end of the article. Select a beer you like, a type of beer you want to try, and you get a handful of beers you might like.

Obviously, the method isn’t exclusive to beer reviews, and this is just a start to a more advanced system that you can tailor to your own data. The good news is that the code to scrape data and recommend things is there for your disposal. [via @drewconway]

Favorites

Life expectancy changes

The data goes back to 1960 and up to the most current estimates for 2009. Each line represents a country.

Most popular porn searches, by state

We’ve seen that we can learn from what people search for, through the eyes of Google suggestions: state stereotypes, national …

How You Will Die

So far we’ve seen when you will die and how other people tend to die. Now let’s put the two together to see how and when you will die, given your sex, race, and age.

Unemployment in America, Mapped Over Time

Watch the regional changes across the country from 1990 to 2016.