The recommendation data below gives the standard wide format view of the data. The individual rows are the users, and the columns are the ratings on the attribute selected on the left. Where ratings are missing, the recommendation system will attempt to infer the rating of the user (See the recommendations tab).
Here is the original raw data prior to transformation. In this case, the different attributes are along the columns and the bars and tasters are along the rows. We transform this data to get the above structure (with columns as bars and tasters as rows) in order to perform the recommendation.
Click Predict Interests to see the predictions.
The predicted ratings for the top 5 bars for the selected user are given in the plot below.
The same data from above is given in table format below.