亚马逊使用软件开发工具包个性化运行时示例 JavaScript V3 - AWS SDK for JavaScript
操作

帮助我们改进AWS SDK for JavaScript版本 3 (V3) 文档，方法是使用反馈链接，或者在上创建议题或拉取请求GitHub.

这些区域有：AWS SDK for JavaScriptV3 API 参考指南详细描述了所有的 API 操作AWS SDK for JavaScript版本 3 (V3)。

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亚马逊使用软件开发工具包个性化运行时示例 JavaScript V3

以下代码示例显示如何使用AWS SDK for JavaScript带有Amazon Personalize 运行时的 V3。

操作展示如何调用具体的Amazon Personalize 运行时函数。

方案展示如何通过调用多个 Amazon Personalize Personalizame Runtime 函数来完成特定任务的代码示例。

每个示例都包含一个指向以下内容的链接 GitHub其中包含了有关如何在上下文中设置和运行代码的说明。

主题

操作

以下代码示例显示如何获取 Amazon Pervice Pervice Javan Pervice.

适用于的开发工具包 JavaScript V3
提示

要了解如何设置和运行此示例，请参阅GitHub.

// 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();

以下代码示例显示如何获取 Amazon Personalize 运行时推荐。

适用于的开发工具包 JavaScript V3
提示

要了解如何设置和运行此示例，请参阅GitHub.

// 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();

使用过滤器（自定义数据集组）获取推荐。

// 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();

从在域数据集组中创建的推荐者那里获取过滤后的推荐。

// 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();