Utilizzare GetRecommendations con un AWS SDK

Ottiene un elenco di elementi consigliati.

    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);
        }
    }

Ottiene un elenco di elementi consigliati da un programma di raccomandazione creato in un gruppo di set di dati di un 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);
        }
    }

Utilizza un filtro durante la richiesta di raccomandazioni.

    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);
        }
    }

// 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();

Ottiene una raccomandazione con un filtro (gruppo di set di dati personalizzato).

// 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();

Ottiene un elenco di raccomandazioni filtrate da un programma di raccomandazione creato in un gruppo di set di dati di un 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();