Alternate uses of recommendation engines.

Possible Answers

• Features or tags that have manually been attached to items that categorize those items.
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• Features that are contained in data, but aren't directly observable.
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• Features that show up "later" in the machine learning process.
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• Features that are added by human beings.
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