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The recommendations are based on frequency and similarity, which are divided into three levels: customer specific, product specific, and customer segment specific.
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LEARN MORE: check Check out the complete set of methodologies and corresponding examples, here. |
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How To: Learn to define the product recommendation model, here. |
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How To: Learn to configure the product recommendation model, here. |
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How To: Learn to revise the product recommendation model, here. |
Customer Specific Recommendations
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LEARN MORE: Check out detailed calculations for each method and explanations how the recommendations are ranked and stored, here. |
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If no customer segment is present in the transaction data, users can generate a customer segment based on product affinity.