| Copyright | (c) 2013-2023 Brendan Hay | 
|---|---|
| License | Mozilla Public License, v. 2.0. | 
| Maintainer | Brendan Hay | 
| Stability | auto-generated | 
| Portability | non-portable (GHC extensions) | 
| Safe Haskell | Safe-Inferred | 
| Language | Haskell2010 | 
Amazonka.PersonalizeRuntime.GetRecommendations
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:
- USER_PERSONALIZATION - 
userIdrequired,itemIdnot used - RELATED_ITEMS - 
itemIdrequired,userIdnot used 
Campaigns that are backed by a solution created using a recipe of type PERSONALIZED_RANKING use the API.
For recommenders, the recommender's ARN is required and the required item and user input depends on the use case (domain-based recipe) backing the recommender. For information on use case requirements see Choosing recommender use cases.
Synopsis
- data GetRecommendations = GetRecommendations' {}
 - newGetRecommendations :: GetRecommendations
 - getRecommendations_campaignArn :: Lens' GetRecommendations (Maybe Text)
 - getRecommendations_context :: Lens' GetRecommendations (Maybe (HashMap Text Text))
 - getRecommendations_filterArn :: Lens' GetRecommendations (Maybe Text)
 - getRecommendations_filterValues :: Lens' GetRecommendations (Maybe (HashMap Text Text))
 - getRecommendations_itemId :: Lens' GetRecommendations (Maybe Text)
 - getRecommendations_numResults :: Lens' GetRecommendations (Maybe Natural)
 - getRecommendations_promotions :: Lens' GetRecommendations (Maybe [Promotion])
 - getRecommendations_recommenderArn :: Lens' GetRecommendations (Maybe Text)
 - getRecommendations_userId :: Lens' GetRecommendations (Maybe Text)
 - data GetRecommendationsResponse = GetRecommendationsResponse' {
- itemList :: Maybe [PredictedItem]
 - recommendationId :: Maybe Text
 - httpStatus :: Int
 
 - newGetRecommendationsResponse :: Int -> GetRecommendationsResponse
 - getRecommendationsResponse_itemList :: Lens' GetRecommendationsResponse (Maybe [PredictedItem])
 - getRecommendationsResponse_recommendationId :: Lens' GetRecommendationsResponse (Maybe Text)
 - getRecommendationsResponse_httpStatus :: Lens' GetRecommendationsResponse Int
 
Creating a Request
data GetRecommendations Source #
See: newGetRecommendations smart constructor.
Constructors
| GetRecommendations' | |
Fields 
  | |
Instances
newGetRecommendations :: GetRecommendations Source #
Create a value of GetRecommendations with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:campaignArn:GetRecommendations', getRecommendations_campaignArn - The Amazon Resource Name (ARN) of the campaign to use for getting
 recommendations.
$sel:context:GetRecommendations', getRecommendations_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.
GetRecommendations, getRecommendations_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.
GetRecommendations, getRecommendations_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.
GetRecommendations, getRecommendations_itemId - The item ID to provide recommendations for.
Required for RELATED_ITEMS recipe type.
$sel:numResults:GetRecommendations', getRecommendations_numResults - The number of results to return. The default is 25. The maximum is 500.
$sel:promotions:GetRecommendations', getRecommendations_promotions - The promotions to apply to the recommendation request. A promotion
 defines additional business rules that apply to a configurable subset of
 recommended items.
$sel:recommenderArn:GetRecommendations', getRecommendations_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.
$sel:userId:GetRecommendations', getRecommendations_userId - The user ID to provide recommendations for.
Required for USER_PERSONALIZATION recipe type.
Request Lenses
getRecommendations_campaignArn :: Lens' GetRecommendations (Maybe Text) Source #
The Amazon Resource Name (ARN) of the campaign to use for getting recommendations.
getRecommendations_context :: Lens' GetRecommendations (Maybe (HashMap Text Text)) Source #
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.
getRecommendations_filterArn :: Lens' GetRecommendations (Maybe Text) Source #
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.
getRecommendations_filterValues :: Lens' GetRecommendations (Maybe (HashMap Text Text)) Source #
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.
getRecommendations_itemId :: Lens' GetRecommendations (Maybe Text) Source #
The item ID to provide recommendations for.
Required for RELATED_ITEMS recipe type.
getRecommendations_numResults :: Lens' GetRecommendations (Maybe Natural) Source #
The number of results to return. The default is 25. The maximum is 500.
getRecommendations_promotions :: Lens' GetRecommendations (Maybe [Promotion]) Source #
The promotions to apply to the recommendation request. A promotion defines additional business rules that apply to a configurable subset of recommended items.
getRecommendations_recommenderArn :: Lens' GetRecommendations (Maybe Text) Source #
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.
getRecommendations_userId :: Lens' GetRecommendations (Maybe Text) Source #
The user ID to provide recommendations for.
Required for USER_PERSONALIZATION recipe type.
Destructuring the Response
data GetRecommendationsResponse Source #
See: newGetRecommendationsResponse smart constructor.
Constructors
| GetRecommendationsResponse' | |
Fields 
  | |
Instances
newGetRecommendationsResponse Source #
Create a value of GetRecommendationsResponse with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:itemList:GetRecommendationsResponse', getRecommendationsResponse_itemList - A list of recommendations sorted in descending order by prediction
 score. There can be a maximum of 500 items in the list.
$sel:recommendationId:GetRecommendationsResponse', getRecommendationsResponse_recommendationId - The ID of the recommendation.
$sel:httpStatus:GetRecommendationsResponse', getRecommendationsResponse_httpStatus - The response's http status code.
Response Lenses
getRecommendationsResponse_itemList :: Lens' GetRecommendationsResponse (Maybe [PredictedItem]) Source #
A list of recommendations sorted in descending order by prediction score. There can be a maximum of 500 items in the list.
getRecommendationsResponse_recommendationId :: Lens' GetRecommendationsResponse (Maybe Text) Source #
The ID of the recommendation.
getRecommendationsResponse_httpStatus :: Lens' GetRecommendationsResponse Int Source #
The response's http status code.