Hi I'm currently trying to set up PredictionIO with the standard Recommendation template as a project. I have 4 years of data, but the data I have can only qualify as "buy" events (I realise that each of the "buy" events can be interpreted as: first "view" then "buy") from E-commerce, so I have changed the code to match:
http://predictionio.incubator.apache.org/templates/recommendation/training-with-implicit-preference/ But instead of the sample "view" event I made it "buy". My questions are as follows: 1) Is it possible to use this template based off of only "buy" events? 2) And how should the testdata be formatted? Because all the examples I can find are based off of rating events: uid::movie_id::rating I was thinking: uid::article_id::"buy"? I'm fairly new to this, I have looked into Spark MLLib, but all the examples use the MovieLens dataset. Thank you, - Kasper
