Hello everyone I am fairly new to Knime and we are using it in our classes. I would like to create a model that recommends the next product to the customer. To do this, I have a dataset that contains all the products a customer has bought every month for the last 1.5 years. The goal is to predict the next product he/she will buy. Which node is best suited for this? Decision Tree, Random Forest, XGBoost or is there another option? Thanks for the help Sam

Product recommendation based on behavior data of the client

mlauber71 December 4, 2023, 5:33pm 3

@samuelegli concerning product recommendations there are these links:

Question is if the purchases can be interpreted as a sequence then you could see if rule induction might work

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