取得個人化排名 (AWS SDK)

下列程式碼範例顯示如何使用 AWS SDK 取得個人化排名的不同變化。

獲得個性化排名

下面的代碼演示了如何獲得用戶的個性化排名。指定使用者的 ID 以及要為使用者排名的項目 ID 清單。項目 ID 必須位於您用來訓練解決方案版本的資料中。系統會傳回排名建議清單。Amazon Personalize 化認為用戶最感興趣的列表中的第一項。

SDK for Python (Boto3)

import boto3

personalizeRt = boto3.client('personalize-runtime')

response = personalizeRt.get_personalized_ranking(
    campaignArn = "Campaign arn",
    userId = "UserID",
    inputList = ['ItemID1','ItemID2']
)

print("Personalized Ranking")
for item in response['personalizedRanking']:
    print (item['itemId'])

SDK for Java 2.x

public static List<PredictedItem> getRankedRecs(PersonalizeRuntimeClient personalizeRuntimeClient,
                                                String campaignArn,
                                                String userId,
                                                ArrayList<String> items) {

    try {
        GetPersonalizedRankingRequest rankingRecommendationsRequest = GetPersonalizedRankingRequest.builder()
                .campaignArn(campaignArn)
                .userId(userId)
                .inputList(items)
                .build();
  
        GetPersonalizedRankingResponse recommendationsResponse =
                personalizeRuntimeClient.getPersonalizedRanking(rankingRecommendationsRequest);
        List<PredictedItem> rankedItems = recommendationsResponse.personalizedRanking();
        int rank = 1;
        for (PredictedItem item : rankedItems) {
            System.out.println("Item ranked at position " + rank + " details");
            System.out.println("Item Id is : " + item.itemId());
            System.out.println("Item score is : " + item.score());
            System.out.println("---------------------------------------------");
            rank++;
        }
        return rankedItems;
    } catch (PersonalizeRuntimeException e) {
        System.err.println(e.awsErrorDetails().errorMessage());
        System.exit(1);
    }
    return null;
}

SDK for JavaScript v3

// Get service clients module and commands using ES6 syntax.
import { GetPersonalizedRankingCommand } 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 ranking request parameters.
export const getPersonalizedRankingParam = {
  campaignArn: "CAMPAIGN_ARN", /* required */
  userId: 'USER_ID',      /* required */
  inputList: ["ITEM_ID_1", "ITEM_ID_2", "ITEM_ID_3", "ITEM_ID_4"]
}

export const run = async () => {
  try {
    const response = await personalizeRuntimeClient.send(new GetPersonalizedRankingCommand(getPersonalizedRankingParam));
    console.log("Success!", response);
    return response; // For unit tests.
  } catch (err) {
    console.log("Error", err);
  }
};
run();

在個性化排名中包含項目元數據

如果您在促銷活動的建議中啟用中繼資料，您可以指定要包含在回應中的項目資料集中繼資料欄。如需啟用詮釋資料的資訊，請參閱建議的項目中繼資料。

下列程式碼範例顯示如何將中繼資料欄指定為個人化排名請求的一部分。

import boto3

personalizeRt = boto3.client('personalize-runtime')

response = personalizeRt.get_personalized_ranking(
    campaignArn = "Campaign arn",
    userId = "UserID",
    inputList = ['ItemID1','ItemID2'],
    metadataColumns = {
      "ITEMS": ['columnNameA','columnNameB']
    }
)

print("Personalized Ranking")
for item in response['personalizedRanking']:
    print (item['itemId'])
    print (item['metadata'])

使用上下文元數據獲取個性化排名

使用下面的程式碼來根據情境中繼資料取得個人化排名。對於context，針對每個索引鍵值配對，提供中繼資料欄位做為索引鍵，並提供內容資料做為值。在下列範例程式碼中，索引鍵為DEVICE且值為mobile phone。將這些值和Campaign ARN和取代為您User ID自己的值。此外，也會變更inputList為您用來訓練解決方案之資料中的項目 ID 清單。Amazon Personalize 化認為用戶最感興趣的列表中的第一項。

import boto3

personalizeRt = boto3.client('personalize-runtime')

response = personalizeRt.get_personalized_ranking(
    campaignArn = "Campaign ARN",
    userId = "User ID",
    inputList = ['ItemID1', 'ItemID2'],
    context = {
      'DEVICE': 'mobile phone'
    }
)

print("Personalized Ranking")
for item in response['personalizedRanking']:
  print(item['itemId'])