Hi, I have some implicit rating data, such as the purchasing data. I read the paper about the implicit training algorithm used in spark and it mentioned the for user-prodct pairs which do not have implicit rating data, such as no purchase, we need to provide the value as 0.
This is different from explicit training where when we provide training data, for user-product pair without a rating, we just do not have them in the training data instead of adding a user-product pair with rating 0. Am I understand this correctly? Or for implicit training implementation in spark, the missing data will be automatically filled out as zero and we do not need to add them in the training data set? Thanks, Crystal.
