{
"insertId": "******",
"jsonPayload": {
"serviceContext": {
},
"message": "INSUFFICIENT_TRAINING_DATA Recommendation model recommende_recommende_1613478291864 cannot be trained because of insufficient data.",
"status": {
"code": 9,
"message": "Recommendation model recommende_recommende_1613478291864 cannot be trained because of insufficient data.",
},
"context": {
"reportLocation": {
"functionName": "google.cloud.recommendationengine.v1alpha.RecommendationModelService.CreateRecommendationModel"
}
}
},
"resource": {
"type": "consumed_api",
"labels": {
"version": "",
"location": "global",
"credential_id": "",
"method": "google.cloud.recommendationengine.v1alpha.RecommendationModelService.CreateRecommendationModel",
"project_id": "*****"
}
},
"timestamp": "2021-02-16T12:34:52.869035308Z",
"severity": "ERROR",
"logName": "projects/****/logs/recommendations-api-log",
"receiveTimestamp": "2021-02-16T12:34:53.870909132Z"
}
-------------------------
For the data requirements I got this before creating the model ( a screenshot):
However, when I tried to create the model I got an error that at least you need 100 catalog item. So I added more products from my store( around 1000 ) then I was able to create the model. it started tuning and training. after half an hour I get the error that I posted above.
I am attaching a screenshot from the models UI too :

As you can see I get "Error" in date state column for both models Recommended for you and Others you may like.
I'm not sure what part of data is insufficient ?
Here is a screenshot of data ingestion for the user events:
I got stuck now and not sure what to do. could you please help out with that?
Thanks.
Best regards,
Mohamad