Jianbo Ye (c) 2014-2015
This is an experimental code. Input
- A sparse matrix with values taking discrete values from 1 .. M, each row is a user, and each column is an item.
- A representation dimension for user and item factors (default: 10)
- A probability matrix for each cell (i,j) with a nonzero probability for discrete value from 0 ... (M+1), where 0 and (M+1) are considering as the "extrame values". One can either use the expected value as predictions or rank each row using extrame values.