personalizeruntime_get_action_recommendations: Returns a list of recommended actions in sorted in descending...

View source: R/personalizeruntime_operations.R

personalizeruntime_get_action_recommendationsR Documentation

Returns a list of recommended actions in sorted in descending order by prediction score

Description

Returns a list of recommended actions in sorted in descending order by prediction score. Use the get_action_recommendations API if you have a custom campaign that deploys a solution version trained with a PERSONALIZED_ACTIONS recipe.

See https://www.paws-r-sdk.com/docs/personalizeruntime_get_action_recommendations/ for full documentation.

Usage

personalizeruntime_get_action_recommendations(
  campaignArn = NULL,
  userId = NULL,
  numResults = NULL,
  filterArn = NULL,
  filterValues = NULL
)

Arguments

campaignArn

The Amazon Resource Name (ARN) of the campaign to use for getting action recommendations. This campaign must deploy a solution version trained with a PERSONALIZED_ACTIONS recipe.

userId

The user ID of the user to provide action recommendations for.

numResults

The number of results to return. The default is 5. The maximum is 100.

filterArn

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.

filterValues

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 actions, you must provide values for all parameters that are defined in the expression. For filters with expressions that use an EXCLUDE element to exclude actions, 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 and user segments.


paws.machine.learning documentation built on Sept. 12, 2024, 6:23 a.m.