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[ aws . personalize ]



Creates a recommender with the recipe (a Domain dataset group use case) you specify. You create recommenders for a Domain dataset group and specify the recommender's Amazon Resource Name (ARN) when you make a GetRecommendations request.

Minimum recommendation requests per second

When you create a recommender, you can configure the recommender's minimum recommendation requests per second. The minimum recommendation requests per second (minRecommendationRequestsPerSecond ) specifies the baseline recommendation request throughput provisioned by Amazon Personalize. The default minRecommendationRequestsPerSecond is 1 . A recommendation request is a single GetRecommendations operation. Request throughput is measured in requests per second and Amazon Personalize uses your requests per second to derive your requests per hour and the price of your recommender usage.

If your requests per second increases beyond minRecommendationRequestsPerSecond , Amazon Personalize auto-scales the provisioned capacity up and down, but never below minRecommendationRequestsPerSecond . There's a short time delay while the capacity is increased that might cause loss of requests.

Your bill is the greater of either the minimum requests per hour (based on minRecommendationRequestsPerSecond) or the actual number of requests. The actual request throughput used is calculated as the average requests/second within a one-hour window. We recommend starting with the default minRecommendationRequestsPerSecond , track your usage using Amazon CloudWatch metrics, and then increase the minRecommendationRequestsPerSecond as necessary.


A recommender can be in one of the following states:


To get the recommender status, call DescribeRecommender .


Wait until the status of the recommender is ACTIVE before asking the recommender for recommendations.

Related APIs

See also: AWS API Documentation

See 'aws help' for descriptions of global parameters.


--name <value>
--dataset-group-arn <value>
--recipe-arn <value>
[--recommender-config <value>]
[--tags <value>]
[--cli-input-json <value>]
[--generate-cli-skeleton <value>]


--name (string)

The name of the recommender.

--dataset-group-arn (string)

The Amazon Resource Name (ARN) of the destination domain dataset group for the recommender.

--recipe-arn (string)

The Amazon Resource Name (ARN) of the recipe that the recommender will use. For a recommender, a recipe is a Domain dataset group use case. Only Domain dataset group use cases can be used to create a recommender. For information about use cases see Choosing recommender use cases .

--recommender-config (structure)

The configuration details of the recommender.

itemExplorationConfig -> (map)

Specifies the exploration configuration hyperparameters, including explorationWeight and explorationItemAgeCutOff , you want to use to configure the amount of item exploration Amazon Personalize uses when recommending items. Provide itemExplorationConfig data only if your recommenders generate personalized recommendations for a user (not popular items or similar items).

key -> (string)

value -> (string)

minRecommendationRequestsPerSecond -> (integer)

Specifies the requested minimum provisioned recommendation requests per second that Amazon Personalize will support.

Shorthand Syntax:


JSON Syntax:

  "itemExplorationConfig": {"string": "string"
  "minRecommendationRequestsPerSecond": integer

--tags (list)

A list of tags to apply to the recommender.


The optional metadata that you apply to resources to help you categorize and organize them. Each tag consists of a key and an optional value, both of which you define. For more information see Tagging Personalize resources .

tagKey -> (string)

One part of a key-value pair that makes up a tag. A key is a general label that acts like a category for more specific tag values.

tagValue -> (string)

The optional part of a key-value pair that makes up a tag. A value acts as a descriptor within a tag category (key).

Shorthand Syntax:

tagKey=string,tagValue=string ...

JSON Syntax:

    "tagKey": "string",
    "tagValue": "string"

--cli-input-json (string) Performs service operation based on the JSON string provided. The JSON string follows the format provided by --generate-cli-skeleton. If other arguments are provided on the command line, the CLI values will override the JSON-provided values. It is not possible to pass arbitrary binary values using a JSON-provided value as the string will be taken literally.

--generate-cli-skeleton (string) Prints a JSON skeleton to standard output without sending an API request. If provided with no value or the value input, prints a sample input JSON that can be used as an argument for --cli-input-json. If provided with the value output, it validates the command inputs and returns a sample output JSON for that command.

See 'aws help' for descriptions of global parameters.


recommenderArn -> (string)

The Amazon Resource Name (ARN) of the recommender.