CODEWITHSUNDEEP
recommendation-engineamazon-personalize
Capacytron
Capacytron

Reputation: 3739

aws personalize user attributes

I see that AWS personalize supports GENRES for items. Can't find anything about preferred GENRES for the users dataset.

General question about GENRES field

and still define GENRES field as categorical string field?

{
          "name": "GENRES",
          "type": "string",
          "categorical": true
}

Isn't it just a math behind the scenes and it doesn't really matter if genre is meaningful name of just a number?

Upvotes: 0

Views: 149

Answers (1)

James J
James J

Reputation: 731

The GENRES column is required when you create a Video On Demand domain dataset group and include an items dataset. For the e-commerce domain dataset group and custom dataset groups, GENRES is not required.

The GENRES field must be marked as categorical in your items dataset schema.

{
  "type": "record",
  "name": "Items",
  "namespace": "com.amazonaws.personalize.schema",
  "fields": [
    {
      "name": "ITEM_ID",
      "type": "string"
    },
    {
      "name": "GENRES",
      "type": "string",
      "categorical": true
    },
    {
      "name": "CREATION_TIMESTAMP",
      "type": "long"
    }
  ],
  "version": "1.0"
}

Categorical fields allow you to specify one or more values for each item where multiple items are separated by |. For example, Action|Adventure. The values you use for genres is dependent on your data. You can use string keywords or numbers. Just make sure that you format the GENRES column as a string and use consistent genre values across your items. Personalize will encode the values you specify when the model is trained.

Upvotes: 1

Related Questions