Recording item interaction events with impressions data - Amazon Personalize

Recording item interaction events with impressions data

If you use the User-Personalization recipe or add the IMPRESSIONS field to your schema for a dataset in a Domain dataset group, you can record impressions data in your PutEvents operation. Impressions are lists of items that were visible to a user when they interacted with (for example, clicked or watched) a particular item. Amazon Personalize uses impressions data to guide exploration, where recommendations include items with less interactions data or relevance. For information on the implicit and explicit impressions Amazon Personalize can model, see Impressions data.

Important

If you provide conflicting implicit and explicit impression data in your PutEvents requests, Amazon Personalize uses the explicit impressions by default.

To record the Amazon Personalize recommendations you show your user as impressions data, include the recommendationId in your PutEvents request and Amazon Personalize derives the implicit impressions based on your recommendation data.

To manually record impressions data for an event, list the impressions in the PutEvents command's impression input parameter. The following code sample shows how to include a recommendationId and an impression in a PutEvents operation with either the SDK for Python (Boto3) or the SDK for Java 2.x. If you include both, Amazon Personalize uses the explicit impressions by default.

SDK for Python (Boto3)
import boto3

personalize_events = boto3.client(service_name='personalize-events')

personalize_events.put_events(
    trackingId = 'tracking_id',
    userId= 'userId',
    sessionId = 'sessionId',
    eventList = [{
        'eventId': 'event1',
        'eventType': 'rating',
        'sentAt': 1553631760,
        'itemId': 'item id',
        'recommendationId': 'recommendation id',
        'impression': ['itemId1', 'itemId2', 'itemId3']
        }]
)
SDK for Java 2.x

Use the following putEvents method to record an event with impressions data and a recommendationId. For the impressions parameter, pass the list of itemIds as an ArrayList.

public static void putEvents(PersonalizeEventsClient personalizeEventsClient, 
                                String trackingId, 
                                String sessionId, 
                                String userId, 
                                String eventType, 
                                Float eventValue, 
                                String itemId,
                                ArrayList<String> impressions,
                                String recommendationId) {

    try { 
        Event event = Event.builder()
            .eventType(eventType)
            .sentAt(Instant.ofEpochMilli(System.currentTimeMillis() + 10 * 60 * 1000))
            .itemId(itemId)
            .eventValue(eventValue)
            .impression(impressions)
            .recommendationId(recommendationId)
            .build();

        PutEventsRequest putEventsRequest = PutEventsRequest.builder()
            .trackingId(trackingId)
            .userId(userId)
            .sessionId(sessionId)
            .eventList(event)
            .build();

        int responseCode = personalizeEventsClient.putEvents(putEventsRequest)
            .sdkHttpResponse()
            .statusCode();
        System.out.println("Response code: " + responseCode);

    } catch (PersonalizeEventsException e) {
        System.out.println(e.awsErrorDetails().errorMessage());
    }
}