An offline recommender system backend based on collaborative filtering written in Go
machine-learning
data-mining
collaborative-filtering
bpr
recommender
machinelearning
recommender-system
restful-api
knn
gorse
-
Updated
Oct 25, 2020 - Go
In ML dataset, All data are visited at most one time.
However, in the other dataset, a item might be referenced multiple times by one user.
In this case, how to handle when Item i is both inside the training set and the test set?
Do I need to remove the item i from the test set?
If I remove the item i, then evaluation metric represents the predictive power of the model which has not se