GitHub user vaghawan opened an issue:

    
https://github.com/apache/incubator-predictionio-template-recommender/issues/14

    I experienced a bug in the recommendation engine when I train 1 gb of data

    Hi, 
    
    When I train 50000 data the template is Ok, it recommend different item to 
different users. But when I train 300000 of events, the template ends up 
recommending the same items for all the users but with a bit different score 
matrix. 
    
    What's wrong, I don't know but it looks like a big bug, probably should 
only with me. 
    
    I'm using the default codes with buy events. In small dataset its working 
all good, but with large data it's not. Can you please tell me why this is 
happening

----

----


---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes so, or if the feature is enabled but not working, please
contact infrastructure at infrastruct...@apache.org or file a JIRA ticket
with INFRA.
---

Reply via email to