What is 'high affinity' in SAP CEC-MKT-ML-PRE - Predictive Studio?

high affinity - Overview

• Component: CEC-MKT-ML-PRE

• Component Name: Predictive Studio

• Description: Attribute of an interaction type that indicates strong interest in a product, for example, the interaction types Sales Order or Checkout Successful.

high affinity - Details

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  Key Concepts: 
  High affinity is a term used in Predictive Studio, a component of SAP CEC-MKT-ML-PRE. It is a measure of the strength of the relationship between two items. It is calculated by taking the number of times two items appear together in a dataset and dividing it by the total number of times either item appears in the dataset. A high affinity score indicates that two items are often found together, while a low affinity score indicates that they are rarely found together. 
  
  How to use it: 
  High affinity can be used to identify relationships between items in a dataset. For example, if you have a dataset containing customer purchases, you can use high affinity to identify which products are often purchased together. This can be used to inform marketing strategies or product recommendations. 
  
  Tips & Tricks: 
  When using high affinity, it is important to consider the context of the data. For example, if two items have a high affinity score but are rarely purchased together, this could indicate that customers are not interested in buying them together. 
  
  Related Information: 
  High affinity is related to other measures of association such as correlation and mutual information. These measures can be used to identify relationships between items in a dataset and inform decisions about marketing strategies or product recommendations.