use of software.amazon.awssdk.services.personalizeruntime.model.PersonalizeRuntimeException in project aws-doc-sdk-examples by awsdocs.
the class GetPersonalizedRanking method getRankedRecs.
// snippet-start:[personalize.java2.get_personalized_ranking.main]
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;
}
use of software.amazon.awssdk.services.personalizeruntime.model.PersonalizeRuntimeException in project aws-doc-sdk-examples by awsdocs.
the class FilterRecommendations method getFilteredRecs.
// snippet-start:[personalize.java2.filter_recommendations.main]
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);
}
}
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