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Describe the bug
I am trying Gorse out with the provided github interactions dataset, everything runs fine on docker but I have noticed that the 'Generate offline recommendation' task keeps restarting indefinitely. I do understand that check_recommend_period and refresh_recommend_period variables dictate if offline recommendations will be recalculated (https://gorse.io/docs/master/concepts/how-it-works.html#worker-offline-recommendation) .
Currently these variables are set as:
check_recommend_period = "1m"
refresh_recommend_period = "24h"
I have confirmed that the Generate offline recommendation Task loops even if I don't add any additional users, items or feedbacks.
To Reproduce
Ran docker compose locally
successfully imported the demo data into mysql container
Restarted all containers
Let all tasks complete successfully on the "Tasks" page
Expected behavior
Offline recommendations not being calculated over and over again if there weren't any new users, items or feedbacks added to the system .
Please let me know if this is the expected behavior or if something needs to be adjusted on my end, my team is looking to use Gorse more on the daily to generate predictions on labeled data, and our main concern is that calculating offline recommendations every minute will use too much of our hardware resources as the underlaying data grows in size.
The text was updated successfully, but these errors were encountered:
Gorse version
zhenghaoz/gorse-in-one:latest
Describe the bug
I am trying Gorse out with the provided github interactions dataset, everything runs fine on docker but I have noticed that the 'Generate offline recommendation' task keeps restarting indefinitely. I do understand that check_recommend_period and refresh_recommend_period variables dictate if offline recommendations will be recalculated (https://gorse.io/docs/master/concepts/how-it-works.html#worker-offline-recommendation) .
Currently these variables are set as:
I have confirmed that the Generate offline recommendation Task loops even if I don't add any additional users, items or feedbacks.
To Reproduce
Expected behavior
Offline recommendations not being calculated over and over again if there weren't any new users, items or feedbacks added to the system .
Additional context
Maybe an issue related/similar to this one ( #789 )
I am attaching my docker logs to the issue in case those can help.
dockerLogGorse.txt
dockerLogRedis.txt
dockerLogMySql.txt
Here is the config I am currently using, along with the config.toml file:
config.toml.txt
docker-compose.yaml.txt
Please let me know if this is the expected behavior or if something needs to be adjusted on my end, my team is looking to use Gorse more on the daily to generate predictions on labeled data, and our main concern is that calculating offline recommendations every minute will use too much of our hardware resources as the underlaying data grows in size.
The text was updated successfully, but these errors were encountered: