记录含事件值数据的多个物品交互事件

以下示例展示了如何记录具有不同事件类型和不同事件值的多个物品交互事件。

配置解决方案时，如果物品交互数据集包含 EVENT_TYPE 和 EVENT_VALUE 字段，则您可以将特定值设置为阈值，以从训练中排除记录。有关更多信息，请参阅选择用于训练的物品交互数据。

该示例还显示由某些食谱用作元数据的额外属性 numRatings 的记录。

Dataset columns: USER_ID, ITEM_ID, TIMESTAMP, EVENT_TYPE, EVENT_VALUE, NUM_RATINGS
Item interactions dataset: user123, movie_xyz, 1543531139, rating, 5, 12
                      user321, choc-ghana, 1543531760, like, 4
                      user111, choc-fake, 1543557118, like, 3

Python

import boto3
import json

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

personalize_events.put_events(
    trackingId = 'tracking_id',
    userId= 'user555',
    sessionId = 'session1',
    eventList = [{
        'eventId': 'event1',
        'sentAt': 1553631760,
        'eventType': 'like',
        'properties': json.dumps({
            'itemId': 'choc-panama',
            'eventValue': 4,
            'numRatings': 0    
            })
        }, {
        'eventId': 'event2',
        'sentAt': 1553631782,
        'eventType': 'rating',
        'properties': json.dumps({
            'itemId': 'movie_ten',
            'eventValue': 3,
            'numRatings': 13
            })
        }]
)

AWS CLI

aws personalize-events put-events \
    --tracking-id tracking_id \
    --user-id user555 \
    --session-id session1 \
    --event-list '[{
        "eventId": "event1",
        "sentAt": 1553631760,
        "eventType": "like",
        "properties": "{\"itemId\": \"choc-panama\", \"eventValue\": \"true\"}"
      }, {
        "eventId": "event2",
        "sentAt": 1553631782,
        "eventType": "rating",
        "properties": "{\"itemId\": \"movie_ten\", \"eventValue\": \"4\", \"numRatings\": \"13\"}"
      }]'

SDK for Java 2.x

public static void putMultipleEvents(PersonalizeEventsClient personalizeEventsClient, 
                            String trackingId, 
                            String sessionId, 
                            String userId, 
                            String event1Type, 
                            Float event1Value, 
                            String event1ItemId,
                            int event1NumRatings,
                            String event2Type, 
                            Float event2Value, 
                            String event2ItemId,
                            int event2NumRatings) {  
                                                    
    ArrayList<Event> eventList = new ArrayList<Event>();
                        
    try {
        Event event1 = Event.builder()
            .eventType(event1Type)
            .sentAt(Instant.ofEpochMilli(System.currentTimeMillis() + 10 * 60 * 1000))
            .itemId(event1ItemId)
            .eventValue(event1Value)
            .properties("{\"numRatings\": "+ event1NumRatings +"}")
            .build(); 

        eventList.add(event1); 

        Event event2 = Event.builder()
            .eventType(event2Type)
            .sentAt(Instant.ofEpochMilli(System.currentTimeMillis() + 10 * 60 * 1000))
            .itemId(event2ItemId)
            .eventValue(event2Value)
            .properties("{\"numRatings\": "+ event2NumRatings +"}")
            .build();

        eventList.add(event2);

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

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

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

注意

属性键使用与交互架构中的字段匹配的采用驼峰式大小写的名称。例如，如果在交互架构中定义了“NUM_RATINGS”字段，则属性键应为 numRatings。