Pinpoint Recommender

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This table represents the pinpoint_recommender resource from Amazon Web Services.

aws.pinpoint_recommender

Fields

ID	Type	Data Type	Description
_key	core	string
account_id	core	string
attributes	core	hstore	A map that defines 1-10 custom endpoint or user attributes, depending on the value for the RecommendationProviderIdType property. Each of these attributes temporarily stores a recommended item that's retrieved from the recommender model and sent to an AWS Lambda function for additional processing. Each attribute can be used as a message variable in a message template. This value is null if the configuration doesn't invoke an AWS Lambda function (RecommendationTransformerUri) to perform additional processing of recommendation data.
creation_date	core	string	The date, in extended ISO 8601 format, when the configuration was created for the recommender model.
description	core	string	The custom description of the configuration for the recommender model.
id	core	string	The unique identifier for the recommender model configuration.
last_modified_date	core	string	The date, in extended ISO 8601 format, when the configuration for the recommender model was last modified.
name	core	string	The custom name of the configuration for the recommender model.
recommendation_provider_id_type	core	string	The type of Amazon Pinpoint ID that's associated with unique user IDs in the recommender model. This value enables the model to use attribute and event data that’s specific to a particular endpoint or user in an Amazon Pinpoint application. Possible values are: <ul><li>PINPOINT_ENDPOINT_ID - Each user in the model is associated with a particular endpoint in Amazon Pinpoint. The data is correlated based on endpoint IDs in Amazon Pinpoint. This is the default value.</li> <li>PINPOINT_USER_ID - Each user in the model is associated with a particular user and endpoint in Amazon Pinpoint. The data is correlated based on user IDs in Amazon Pinpoint. If this value is specified, an endpoint definition in Amazon Pinpoint has to specify both a user ID (UserId) and an endpoint ID. Otherwise, messages won’t be sent to the user's endpoint.</li></ul>
recommendation_provider_role_arn	core	string	The Amazon Resource Name (ARN) of the AWS Identity and Access Management (IAM) role that authorizes Amazon Pinpoint to retrieve recommendation data from the recommender model.
recommendation_provider_uri	core	string	The Amazon Resource Name (ARN) of the recommender model that Amazon Pinpoint retrieves the recommendation data from. This value is the ARN of an Amazon Personalize campaign.
recommendation_transformer_uri	core	string	The name or Amazon Resource Name (ARN) of the AWS Lambda function that Amazon Pinpoint invokes to perform additional processing of recommendation data that it retrieves from the recommender model.
recommendations_display_name	core	string	The custom display name for the standard endpoint or user attribute (RecommendationItems) that temporarily stores recommended items for each endpoint or user, depending on the value for the RecommendationProviderIdType property. This name appears in the <b>Attribute finder</b> of the template editor on the Amazon Pinpoint console. This value is null if the configuration doesn't invoke an AWS Lambda function (RecommendationTransformerUri) to perform additional processing of recommendation data.
recommendations_per_message	core	int64	The number of recommended items that are retrieved from the model for each endpoint or user, depending on the value for the RecommendationProviderIdType property. This number determines how many recommended items are available for use in message variables.
tags	core	hstore