How to use predictions after training the model

[GabrielePicco]

Hi Guocong Song,

I do not know if this is the right place to ask questions but I did not find a better place.
I'm trying to figure out your code to integrate a recommender system in my application.
I downloaded the code and trained the model.
After training the model I would need to make the predictions, that is, get suggestions for each user so that they can be saved in a DB from which I access with a NODE.js application.

How do I retrieve this list of suggestions for each user when the training is done?
I also did the same question on stack overflow: https://stackoverflow.com/questions/44898080/recommender-system-svd-with-tensorflow

Thanks in advance if you will dedicate some time to help me.

[yindia]

Create your iter_predct same like iter_test and write below code just after iter_test loop. Write different function to read prediction data without ratings. Use New pull request it help you to scale

for users, items, rates in iter_predct: 
                    pred_batch = sess.run(infer, feed_dict={user_batch: users,
                                                            item_batch: items})
                    pred_batch = clip(pred_batch)