How do you specify which data an Amazon Personalize model trains off of?

Question

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.

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**.

Accepted Answer

Yes, you can define the specific attributes that you want an Amazon Personalize model to train off by adding [metadata fields](https://docs.aws.amazon.com/personalize/latest/dg/how-it-works-dataset-schema.html#dataset-requirements) 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](https://docs.aws.amazon.com/personalize/latest/dg/how-it-works-dataset-schema.html) in the Amazon Personalize developer guide.

How do you specify which data an Amazon Personalize model trains off of?

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