CODEWITHSUNDEEP
javascriptamazon-web-servicesamazon-personalize
tokosh
tokosh

Reputation: 1836

aws personalize putevents does not update recommendations

I'm trying to use AWS Personalize. After creating dataset and batch inference, I am updating the user-item-interactions with personalize.putEvents (using Javascript SDK, docs)

Snippet:

const awsOpts = { apiVersion, accessKeyId, secretAccessKey, region }
const pEvents = new AWS.PersonalizeEvents(awsOpts)
// ...
const params = {
trackingId, userId, sessionId,
eventList: [{ 
    eventId: (+sentAt) + "",
    sentAt, 
    eventType,
    properties: { itemId }
}]
}
pEvents.putEvents(params, (err, data) => err ? reject(err) : resolve(data))

The events seem to be registered. No errors. After that when I create another batch-inference, I would expect that the new user-items would not appear in the recommendations anymore. But the recommendations in the next batch-inference are unchanged. Am I doing something wrong or am I misunderstanding the putEvents-API-call?

Schema for reference:

{
 "type": "record",
 "name": "Interactions",
 "namespace": "com.amazonaws.personalize.schema",
 "fields": [
    {
        "name": "USER_ID",
        "type": "string"
    },
    {
        "name": "ITEM_ID",
        "type": "string"
    },
    {
        "name": "EVENT_TYPE",
        "type": "string"
    },
    {
        "name": "TIMESTAMP",
        "type": "long"
    }
 ],
 "version": "1.0"
}

One thing seems a bit strange: Cloud watch reports that the lambda was executed twice despite no errors nor timeout exceeded (timeout is set to 10s, and the lambda takes less than 2s). Also Retry attempts is set to 2.

Upvotes: 0

Views: 1299

Answers (3)

user1506729
user1506729

Reputation: 11

I have tried out the very same usecase with personalize using boto3 sdk. Yes!! Put events can be used to update user-item-interactions. No need to retrain the model after put events. Looks like aws personalize solutions are made compatible to handle the data updated with put events. When I run the next batch inference, after updating interactions with put events API, I could see the change in the recommendations. I verified this with personalized ranking recipe. I could see the recent interacted items getting re-ranked according users recent interactions.

Upvotes: 1

Marc
Marc

Reputation: 64

@D.J.Duff (sadly I can't comment)

Are you sure the events added using PutEvent API are considered without retraining ? I have been through the AWS Personalize Doc looking for exactly that and it looked to me that you need to retrain to get those events included and for the runtime api to be able to consider them. Could you point to me where you saw that they are considered without having to retrain ? Thanks

Upvotes: 1

D.J.Duff
D.J.Duff

Reputation: 1575

User-item recommendations, at least from the runtime API should change without retraining after some events (that is what it is for and that is how we use it), though perhaps (it is something to check) you need to use the runtime API to see the new recommendations.

(edited to clarify that that the API is called the "runtime" API - thanks to PatrykMilewski for seeking the clarification - and that I am by no means certain that the particular API used is the important thing - I do know that when using the runtime API, the events do have an effect though).

Upvotes: 1

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