/* * Copyright 2018-2023 Amazon.com, Inc. or its affiliates. All Rights Reserved. * * Licensed under the Apache License, Version 2.0 (the "License"). You may not use this file except in compliance with * the License. A copy of the License is located at * * http://aws.amazon.com/apache2.0 * * or in the "license" file accompanying this file. This file is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR * CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions * and limitations under the License. */ package com.amazonaws.services.personalizeruntime; import javax.annotation.Generated; import com.amazonaws.*; import com.amazonaws.regions.*; import com.amazonaws.services.personalizeruntime.model.*; /** * Interface for accessing Amazon Personalize Runtime. *
* Note: Do not directly implement this interface, new methods are added to it regularly. Extend from * {@link com.amazonaws.services.personalizeruntime.AbstractAmazonPersonalizeRuntime} instead. *
**
*/ @Generated("com.amazonaws:aws-java-sdk-code-generator") public interface AmazonPersonalizeRuntime { /** * The region metadata service name for computing region endpoints. You can use this value to retrieve metadata * (such as supported regions) of the service. * * @see RegionUtils#getRegionsForService(String) */ String ENDPOINT_PREFIX = "personalize-runtime"; /** ** 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. *
** 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. *
* * @param getRecommendationsRequest * @return Result of the GetRecommendations operation returned by the service. * @throws InvalidInputException * Provide a valid value for the field or parameter. * @throws ResourceNotFoundException * The specified resource does not exist. * @sample AmazonPersonalizeRuntime.GetRecommendations * @see AWS API Documentation */ GetRecommendationsResult getRecommendations(GetRecommendationsRequest getRecommendationsRequest); /** * Shuts down this client object, releasing any resources that might be held open. This is an optional method, and * callers are not expected to call it, but can if they want to explicitly release any open resources. Once a client * has been shutdown, it should not be used to make any more requests. */ void shutdown(); /** * Returns additional metadata for a previously executed successful request, typically used for debugging issues * where a service isn't acting as expected. This data isn't considered part of the result data returned by an * operation, so it's available through this separate, diagnostic interface. ** 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. * * @param request * The originally executed request. * * @return The response metadata for the specified request, or null if none is available. */ ResponseMetadata getCachedResponseMetadata(AmazonWebServiceRequest request); }