如何使用Java启动AWS Personalize项目

如何解决如何使用Java启动AWS Personalize项目

有人可以帮助您开始使用AWS Java SDK for Personalize吗？我习惯在控制台上制作广告系列。现在，我想使用Java查询建议。

Amazon在Python中有很多示例，但是我需要Java。从客户端构建器开始特别有用。

谢谢。

解决方法

要使用Java V2查询建议，请使用 PersonalizeRuntimeClient 对象。

以下是使用Java V2的示例。我们很快就会在Java V2 Github中发布完整的示例。

package com.example.personalize;
//snippet-start:[personalize.java2.get_recommendations.import]
import software.amazon.awssdk.awscore.exception.AwsServiceException;
import software.amazon.awssdk.regions.Region;
import software.amazon.awssdk.services.personalizeruntime.PersonalizeRuntimeClient;
import software.amazon.awssdk.services.personalizeruntime.model.GetRecommendationsRequest;
import software.amazon.awssdk.services.personalizeruntime.model.GetRecommendationsResponse;
import software.amazon.awssdk.services.personalizeruntime.model.PredictedItem;
import java.util.List;
//snippet-end:[personalize.java2.get_recommendations.import]
public class GetRecommendations {
    public static void main(String[] args) {
        final String USAGE = "\n" +
                "Usage:\n" +
                "    GetRecommendations <campaignArn> <userId>\n\n" +
                "Where:\n" +
                "    campaignArn - The ARN of the campaign.\n\n" +
                "    userId - The user ID to provide recommendations for\n\n";
        if (args.length < 2) {
            System.out.println(USAGE);
            System.exit(1);
        }
        /* Read the name from command args */
        String campaignArn = args[0];
        String userId = args[1];
        Region region = Region.US_EAST_1;
        PersonalizeRuntimeClient personalizeRuntimeClient = PersonalizeRuntimeClient.builder()
                .region(region)
                .build();
        getRecs(personalizeRuntimeClient,campaignArn,userId);
    }
    //snippet-start:[personalize.java2.get_recommendations.main]
    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);
        }
    }
    //snippet-end:[personalize.java2.get_recommendations.main]
}