Hi! Should I assume that under same dataset and same parameters for factorizer and recommender I will get the same results for any specific user? My current understanding that theoretically ALS-WR algorithm could guarantee this, but I was wondering could be there any numeric method issues and/or implementation-specific concerns. Would appreciate any highlight on this issue. Mike.
