Azure Recommendations API's Parameter

Question

I would like to make a recommendation model using Recommendations API on Azure MS Cognitive Services. I can't understand three API's parameters below for "Create/Trigger a build." What do these parameters mean?

EnableModelingInsights

Allows you to compute metrics on the recommendation model. 

Valid Values: True/False

AllowColdItemPlacement

Indicates if the recommendation should also push cold items via feature similarity. 

Valid Values: True/False

ReasoningFeatureList

Comma-separated list of feature names to be used for reasoning sentences (e.g. recommendation explanations).

Valid Values: Feature names, up to 512 chars

Answer 1

Your question is quite outdated since it retired on February 15 but here are some links that will help you:

https://azure.microsoft.com/en-in/blog/building-recommender-systems-with-azure-machine-learning-service/

https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/train-matchbox-recommender