personalizeruntime_get_recommendations: Returns a list of recommended items

In paws.machine.learning: 'Amazon Web Services' Machine Learning Services

Returns a list of recommended items

Description

Returns a list of recommended items. For campaigns, the campaign's Amazon Resource Name (ARN) is required and the required user and item input depends on the recipe type used to create the solution backing the campaign as follows:

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

Usage

personalizeruntime_get_recommendations(
  campaignArn = NULL,
  itemId = NULL,
  userId = NULL,
  numResults = NULL,
  context = NULL,
  filterArn = NULL,
  filterValues = NULL,
  recommenderArn = NULL,
  promotions = NULL
)

Arguments

campaignArn	The Amazon Resource Name (ARN) of the campaign to use for getting recommendations.
itemId	The item ID to provide recommendations for. Required for RELATED_ITEMS recipe type.
userId	The user ID to provide recommendations for. Required for USER_PERSONALIZATION recipe type.
numResults	The number of results to return. The default is 25. The maximum is 500.
context	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.
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 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 and user segments.
recommenderArn	The Amazon Resource Name (ARN) of the recommender to use to get recommendations. Provide a recommender ARN if you created a Domain dataset group with a recommender for a domain use case.
promotions	The promotions to apply to the recommendation request. A promotion defines additional business rules that apply to a configurable subset of recommended items.

paws.machine.learning documentation built on Sept. 12, 2023, 1:14 a.m.