I have a huge dataset with 3 variables Company_ID, Area_code, Product_ID
each one of them is a categorical variable of levels 1500,50,15
respectively,where Product_ID
is the product the Company_ID
is using.Each company can be located in more than one area_code
and can be using more than one product.Lets call this train data.
Given a combination of Company_ID, Area_code, Product_ID
,
example- comp_025, area_012, p_10
that is not present in train data,i have to predict the probability that a company Company_ID
located in area Area_Code
uses the product Product_ID
. So that i can recommend that product to company.
I am a beginner and having difficulty in coming up with a model. Any input is highly appreciated.
Thank you.