Say I have a retail organization that doesn't sell a diverse set of products, eg 2000, but has many small transactions. Also say that I don't have any user or preference information. Is it reasonable to use pattern mining (market baskets) and recommend items based on a set of thresholds for support, confidence, and lift? If not, what are my options?
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