Learning Asociation Rule for Next Restaurant Prediction

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.

Learning Asociation Rule for Next Restaurant Prediction

 

Resources

EXAMPLES Server: 10_Big_Data/02_Spark_Executor/08_Learning_Asociation_Rule_for_Next_Restaurant_Prediction10_Big_Data/02_Spark_Executor/08_Learning_Asociation_Rule_for_Next_Restaurant_Prediction*
Download a zip-archive

References:

 

 


* Find more about the Examples Server here.
The link will open the workflow directly in KNIME Analytics Platform (requirements: Windows; KNIME Analytics Platform must be installed with the Installer version 3.2.0 or higher). In other cases, please use the link to a zip-archive or open the provided path manually