Recommending Restaurants using Association Rules
In this workflow we demonstrate how to use the KNIME Spark nodes for giving locality recommendations. For this we are using the Yelp reviews as provided by the Kaggle challenge (https://www.kaggle.com/yelp-dataset/yelp-dataset). We wanted to find good next localities (e.g., restaurants) for everyone who to date only gave one review. For this we learnt association rules on the frequent reviewers and applied them to the newbies. Finally, we selected the best recommendation based on the distance to the first reviewed restaurant and the voting of the recommended restaurants.