He Xiangnan

Results 36 comments of He Xiangnan

You misunderstood the evaluation protocol. We randomly sample X number of negatives, and then blend them it the positive item. Then the model ranks all the X+1 examples, and evaluate...

Moreover, during the negative sampling stage of training, there is no access of the testing data. On Fri, Mar 15, 2019 at 5:08 PM Xiangnan He wrote: > You misunderstood...

Feel free to try if you think you can Sent from my iPhone > On Mar 15, 2019, at 21:16, noone wrote: > > But if you only use 4...

keras: '1.0.7' theano: '0.8.0' python: 2.7 On Mon, Jul 10, 2017 at 11:37 AM, fireonthehead wrote: > what is the version of keras and python???? > > — > You...

I used Theano as the backend for the project. The theano version is : '0.8.0' and keras version is : '1.0.7' On Thu, Aug 17, 2017 at 4:43 AM, rotunba...

This seems to be an API discrepancy. Please check how is the use of the API in your Tensorflow/Theano version. On Thu, Aug 16, 2018 at 12:03 AM, NickShatalov wrote:...

You need to revise the codes a little bit. Two ways: 1) pass in a set of elements that denote the nonzero features for user/item; or 2) check the current...

Yes. I understand your meaning. You can either pass the extra info in the similar way as user/item ID, or rely on the sparse vector support of Keras (represent all...

I think I did not meet the problem.. How do you implement the model? With Keras or Tensorflow or other tools? On Sun, Jul 30, 2017 at 10:51 AM, TruongKhang...

Hi Truong, I find a bug in my evaluation codes which may cause the increasing of evaluation time. I have fixed the bug. You may check whether are the evaluation...