@Generated(value="com.amazonaws:aws-java-sdk-code-generator") public class AbstractAmazonPersonalizeRuntime extends Object implements AmazonPersonalizeRuntime
AmazonPersonalizeRuntime
. Convenient method forms pass through to the
corresponding overload that takes a request object, which throws an UnsupportedOperationException
.ENDPOINT_PREFIX
Modifier and Type | Method and Description |
---|---|
ResponseMetadata |
getCachedResponseMetadata(AmazonWebServiceRequest request)
Returns additional metadata for a previously executed successful request, typically used for debugging issues
where a service isn't acting as expected.
|
GetPersonalizedRankingResult |
getPersonalizedRanking(GetPersonalizedRankingRequest request)
Re-ranks a list of recommended items for the given user.
|
GetRecommendationsResult |
getRecommendations(GetRecommendationsRequest request)
Returns a list of recommended items.
|
void |
shutdown()
Shuts down this client object, releasing any resources that might be held open.
|
public GetPersonalizedRankingResult getPersonalizedRanking(GetPersonalizedRankingRequest request)
AmazonPersonalizeRuntime
Re-ranks a list of recommended items for the given user. The first item in the list is deemed the most likely item to be of interest to the user.
The solution backing the campaign must have been created using a recipe of type PERSONALIZED_RANKING.
getPersonalizedRanking
in interface AmazonPersonalizeRuntime
public GetRecommendationsResult getRecommendations(GetRecommendationsRequest request)
AmazonPersonalizeRuntime
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 - userId
required, itemId
not used
RELATED_ITEMS - itemId
required, userId
not 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.
getRecommendations
in interface AmazonPersonalizeRuntime
public void shutdown()
AmazonPersonalizeRuntime
shutdown
in interface AmazonPersonalizeRuntime
public ResponseMetadata getCachedResponseMetadata(AmazonWebServiceRequest request)
AmazonPersonalizeRuntime
Response metadata is only cached for a limited period of time, so if you need to access this extra diagnostic information for an executed request, you should use this method to retrieve it as soon as possible after executing a request.
getCachedResponseMetadata
in interface AmazonPersonalizeRuntime
request
- The originally executed request.