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Is it possible to use a neighbourhood-based approach on implicit feedback dataset? I have a dataset with information about how many times a certain item was viewed by a particular user. I know that MF approaches are better, but is it possible (are there examples?) to use this approach (with some adjustments of data) and get decent results?

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