Where there is no user-item interaction, you provide no interaction, not an interaction with strength 0. Otherwise your input is fully dense.
On Thu, Feb 12, 2015 at 11:09 PM, Crystal Xing <crystalxin...@gmail.com> wrote: > 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. --------------------------------------------------------------------- To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org
