How do you specify which data an Amazon Personalize model trains off of?
I have an interaction dataset that contains the following attributes: USER_ID, ITEM_ID, TIMESTAMP, COUNTRY, and DEVICE. I also have an event collection policy that collects the following attributes: USER_ID, ITEM_ID, SESSION_ID, EVENT_TYPE, COUNTRY, DEVICE, and WIDGET.
Is it possible to create an Amazon Personalize model using a smaller combination of these attributes only? For example: USER_ID, ITEM_ID, TIMESTAMP, and DEVICE.
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Yes, you can define the specific attributes that you want an Amazon Personalize model to train off by adding metadata fields to your dataset's schema.
Make sure that if you add your own metadata field of type string, it must include the categorical attribute or the textual attribute (only Items schemas support fields with the textual attribute). Otherwise, Amazon Personalize won't use the field when training a model.
For more information, see Datasets and schemas in the Amazon Personalize developer guide.
