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[ aws . personalize-runtime ]

get-recommendations

Description

Returns a list of recommended items. The required input depends on the recipe type used to create the solution backing the campaign, as follows:

  • RELATED_ITEMS - itemId required, userId not used
  • USER_PERSONALIZATION - itemId optional, userId required

Note

Campaigns that are backed by a solution created using a recipe of type PERSONALIZED_RANKING use the API.

See also: AWS API Documentation

See 'aws help' for descriptions of global parameters.

Synopsis

  get-recommendations
--campaign-arn <value>
[--item-id <value>]
[--user-id <value>]
[--num-results <value>]
[--context <value>]
[--filter-arn <value>]
[--filter-values <value>]
[--cli-input-json <value>]
[--generate-cli-skeleton <value>]

Options

--campaign-arn (string)

The Amazon Resource Name (ARN) of the campaign to use for getting recommendations.

--item-id (string)

The item ID to provide recommendations for.

Required for RELATED_ITEMS recipe type.

--user-id (string)

The user ID to provide recommendations for.

Required for USER_PERSONALIZATION recipe type.

--num-results (integer)

The number of results to return. The default is 25. The maximum is 500.

--context (map)

The contextual metadata to use when getting recommendations. Contextual metadata includes any interaction information that might be relevant when getting a user's recommendations, such as the user's current location or device type.

key -> (string)

value -> (string)

Shorthand Syntax:

KeyName1=string,KeyName2=string

JSON Syntax:

{"string": "string"
  ...}

--filter-arn (string)

The ARN of the filter to apply to the returned recommendations. For more information, see Filtering Recommendations .

When using this parameter, be sure the filter resource is ACTIVE .

--filter-values (map)

The values to use when filtering recommendations. For each placeholder parameter in your filter expression, provide the parameter name (in matching case) as a key and the filter value(s) as the corresponding value. Separate multiple values for one parameter with a comma.

For filter expressions that use an INCLUDE element to include items, you must provide values for all parameters that are defined in the expression. For filters with expressions that use an EXCLUDE element to exclude items, you can omit the filter-values .In this case, Amazon Personalize doesn't use that portion of the expression to filter recommendations.

For more information, see Filtering Recommendations .

key -> (string)

value -> (string)

Shorthand Syntax:

KeyName1=string,KeyName2=string

JSON Syntax:

{"string": "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.

Output

itemList -> (list)

A list of recommendations sorted in ascending order by prediction score. There can be a maximum of 500 items in the list.

(structure)

An object that identifies an item.

The and APIs return a list of PredictedItem s.

itemId -> (string)

The recommended item ID.

score -> (double)

A numeric representation of the model's certainty that the item will be the next user selection. For more information on scoring logic, see how-scores-work .

recommendationId -> (string)

The ID of the recommendation.