It recommends products that were most frequently included in the same order. So it’s not recommending similar or related products, but products frequently purchased with the product in question, so the wine use-case wouldn’t recommend wine, but it would recommend cheese, bottle openers, chocolate, etc.
This makes sense in the context of the example the author copied from [0], where the dataset is sports equipment. Often purchased in bundles of related products for a specific sport.
This makes sense in the context of the example the author copied from [0], where the dataset is sports equipment. Often purchased in bundles of related products for a specific sport.
[0]https://github.com/scottfitzcodes/rec-engine-example