Hay más ejemplos de AWS SDK disponibles en el GitHub repositorio de [ejemplos de AWS Doc SDK](https://github.com/awsdocs/aws-doc-sdk-examples).

Las traducciones son generadas a través de traducción automática. En caso de conflicto entre la traducción y la version original de inglés, prevalecerá la version en inglés.

# `GetRecommendations`Úselo con un AWS SDK
<a name="personalize-runtime_example_personalize-runtime_GetRecommendations_section"></a>

Los siguientes ejemplos de código muestran cómo utilizar `GetRecommendations`.

------
#### [ Java ]

**SDK para Java 2.x**  
 Hay más en marcha GitHub. Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javav2/example_code/personalize#code-examples). 
Obtener una lista de artículos recomendados.  

```
    public static void getRecs(PersonalizeRuntimeClient personalizeRuntimeClient, String campaignArn, String userId) {

        try {
            GetRecommendationsRequest recommendationsRequest = GetRecommendationsRequest.builder()
                    .campaignArn(campaignArn)
                    .numResults(20)
                    .userId(userId)
                    .build();

            GetRecommendationsResponse recommendationsResponse = personalizeRuntimeClient
                    .getRecommendations(recommendationsRequest);
            List<PredictedItem> items = recommendationsResponse.itemList();
            for (PredictedItem item : items) {
                System.out.println("Item Id is : " + item.itemId());
                System.out.println("Item score is : " + item.score());
            }

        } catch (AwsServiceException e) {
            System.err.println(e.awsErrorDetails().errorMessage());
            System.exit(1);
        }
    }
```
Obtenga una lista de recomendaciones de un recomendador creado en un grupo de conjuntos de datos de dominio.  

```
    public static void getRecs(PersonalizeRuntimeClient personalizeRuntimeClient, String recommenderArn,
            String userId) {

        try {
            GetRecommendationsRequest recommendationsRequest = GetRecommendationsRequest.builder()
                    .recommenderArn(recommenderArn)
                    .numResults(20)
                    .userId(userId)
                    .build();

            GetRecommendationsResponse recommendationsResponse = personalizeRuntimeClient
                    .getRecommendations(recommendationsRequest);
            List<PredictedItem> items = recommendationsResponse.itemList();

            for (PredictedItem item : items) {
                System.out.println("Item Id is : " + item.itemId());
                System.out.println("Item score is : " + item.score());
            }
        } catch (AwsServiceException e) {
            System.err.println(e.awsErrorDetails().errorMessage());
            System.exit(1);
        }
    }
```
Use un filtro cuando solicite recomendaciones.  

```
    public static void getFilteredRecs(PersonalizeRuntimeClient personalizeRuntimeClient,
            String campaignArn,
            String userId,
            String filterArn,
            String parameter1Name,
            String parameter1Value1,
            String parameter1Value2,
            String parameter2Name,
            String parameter2Value) {

        try {

            Map<String, String> filterValues = new HashMap<>();

            filterValues.put(parameter1Name, String.format("\"%1$s\",\"%2$s\"",
                    parameter1Value1, parameter1Value2));
            filterValues.put(parameter2Name, String.format("\"%1$s\"",
                    parameter2Value));

            GetRecommendationsRequest recommendationsRequest = GetRecommendationsRequest.builder()
                    .campaignArn(campaignArn)
                    .numResults(20)
                    .userId(userId)
                    .filterArn(filterArn)
                    .filterValues(filterValues)
                    .build();

            GetRecommendationsResponse recommendationsResponse = personalizeRuntimeClient
                    .getRecommendations(recommendationsRequest);
            List<PredictedItem> items = recommendationsResponse.itemList();

            for (PredictedItem item : items) {
                System.out.println("Item Id is : " + item.itemId());
                System.out.println("Item score is : " + item.score());
            }
        } catch (PersonalizeRuntimeException e) {
            System.err.println(e.awsErrorDetails().errorMessage());
            System.exit(1);
        }
    }
```
+  Para obtener más información sobre la API, consulta [GetRecommendations](https://docs.aws.amazon.com/goto/SdkForJavaV2/personalize-runtime-2018-05-22/GetRecommendations)la *Referencia AWS SDK for Java 2.x de la API*. 

------
#### [ JavaScript ]

**SDK para JavaScript (v3)**  
 Hay más información. GitHub Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/personalize#code-examples). 

```
// Get service clients module and commands using ES6 syntax.
import { GetRecommendationsCommand } from "@aws-sdk/client-personalize-runtime";

import { personalizeRuntimeClient } from "./libs/personalizeClients.js";
// Or, create the client here.
// const personalizeRuntimeClient = new PersonalizeRuntimeClient({ region: "REGION"});

// Set the recommendation request parameters.
export const getRecommendationsParam = {
  campaignArn: "CAMPAIGN_ARN" /* required */,
  userId: "USER_ID" /* required */,
  numResults: 15 /* optional */,
};

export const run = async () => {
  try {
    const response = await personalizeRuntimeClient.send(
      new GetRecommendationsCommand(getRecommendationsParam),
    );
    console.log("Success!", response);
    return response; // For unit tests.
  } catch (err) {
    console.log("Error", err);
  }
};
run();
```
Obtener recomendaciones con un filtro (grupo de conjuntos de datos personalizados).  

```
// Get service clients module and commands using ES6 syntax.
import { GetRecommendationsCommand } from "@aws-sdk/client-personalize-runtime";
import { personalizeRuntimeClient } from "./libs/personalizeClients.js";
// Or, create the client here.
// const personalizeRuntimeClient = new PersonalizeRuntimeClient({ region: "REGION"});

// Set the recommendation request parameters.
export const getRecommendationsParam = {
  recommenderArn: "RECOMMENDER_ARN" /* required */,
  userId: "USER_ID" /* required */,
  numResults: 15 /* optional */,
};

export const run = async () => {
  try {
    const response = await personalizeRuntimeClient.send(
      new GetRecommendationsCommand(getRecommendationsParam),
    );
    console.log("Success!", response);
    return response; // For unit tests.
  } catch (err) {
    console.log("Error", err);
  }
};
run();
```
Obtenga recomendaciones filtradas de un recomendador creado en un grupo de conjuntos de datos de dominio.  

```
// Get service clients module and commands using ES6 syntax.
import { GetRecommendationsCommand } from "@aws-sdk/client-personalize-runtime";
import { personalizeRuntimeClient } from "./libs/personalizeClients.js";
// Or, create the client here:
// const personalizeRuntimeClient = new PersonalizeRuntimeClient({ region: "REGION"});

// Set recommendation request parameters.
export const getRecommendationsParam = {
  campaignArn: "CAMPAIGN_ARN" /* required */,
  userId: "USER_ID" /* required */,
  numResults: 15 /* optional */,
  filterArn: "FILTER_ARN" /* required to filter recommendations */,
  filterValues: {
    PROPERTY:
      '"VALUE"' /* Only required if your filter has a placeholder parameter */,
  },
};

export const run = async () => {
  try {
    const response = await personalizeRuntimeClient.send(
      new GetRecommendationsCommand(getRecommendationsParam),
    );
    console.log("Success!", response);
    return response; // For unit tests.
  } catch (err) {
    console.log("Error", err);
  }
};
run();
```
+  Para obtener más información sobre la API, consulta [GetRecommendations](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/personalize-runtime/command/GetRecommendationsCommand)la *Referencia AWS SDK para JavaScript de la API*. 

------