Working with an implicit data set in the neuMF model

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Explicit data sets such as MovieLens work according to a ranking, for example a user gives one to five stars for a film. Implicit data like RetailRocket, for example, work with events for example user looks at the article, adds it to the shopping cart, pays for the article.

I am currently working with the neuMF model from TensorFlow. This works with MovieLens. How do I put my implicit data set (RetailRocket) in the neuMF model ?

Do I have to convert the implicit data set to an explicit data set first? (So ​​I give each event an assignment, for example addtoCart = 3, this would then be a ranking again)

If I don't need to convert it, how do I put these events (strings) into the model?

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