summmeer/session-based-news-recommendation

有关于item_freq_dict_norm.txt

Yang-Yan-Yang-Yan opened this issue · 10 comments

Yang-Yan-Yang-Yan commented

作者您好，我在复现session-based-news-recommendation这一项目时遇到了一些问题，按照readme文件提示进行数据预处理后还是找不到item_freq_dict_norm_1.txt等文件，所以想请教一下这个文件是在哪个程序中生成的，谢谢。

summmeer commented

This is used to compute ESIR score, which we didn't use at last, so this line can be removed

Yang-Yan-Yang-Yan commented
summmeer commented

We trained our model on the Globo dataset using one GTX 1080 Ti, and the training time is within a few hours (3~4 hours).

Yang-Yan-Yang-Yan commented
summmeer commented

Sorry I didn't keep the model. Maybe you could paste your training log and see what's wrong here.

Yang-Yan-Yang-Yan commented
summmeer commented

I didn't see your log, could you paste it in this github issue? I'm sorry I can't answer you more about GPU things, which is beyond this paper. There're many tutorials in the Internet.

Friest-a11y commented

作者您好，我在使用您的源码时，出现了这样的问题，请问是哪里需要修改嘛

Traceback (most recent call last):
File "C:/Users/Administrator/Desktop/session-based-news-recommendation-master改动版/main.py", line 128, in
main(args)
File "C:/Users/Administrator/Desktop/session-based-news-recommendation-master改动版/main.py", line 67, in main
model = getattr(modelname, "Seq2SeqAttNN")(args)
File "C:\Users\Administrator\Desktop\session-based-news-recommendation-master改动版\model_combine.py", line 116, in init
scope="multi_attention", hidden_size=self.hidden_size, stddev=self.stddev)
File "C:\Users\Administrator\Desktop\session-based-news-recommendation-master改动版\modules.py", line 132, in multi_attention_layer
stddev) # [batch_size, time_step]
File "C:\Users\Administrator\Desktop\session-based-news-recommendation-master改动版\modules.py", line 151, in count_alpha_m
active=None) # [batch_size, time_step, hidden_size]
File "C:\Users\Administrator\Desktop\session-based-news-recommendation-master改动版\modules.py", line 76, in linear_3d
res = tf.matmul(inputs, w)
File "D:\python\lib\site-packages\tensorflow_core\python\util\dispatch.py", line 180, in wrapper
return target(*args, **kwargs)
File "D:\python\lib\site-packages\tensorflow_core\python\ops\math_ops.py", line 2716, in matmul
return batch_mat_mul_fn(a, b, adj_x=adjoint_a, adj_y=adjoint_b, name=name)
File "D:\python\lib\site-packages\tensorflow_core\python\ops\gen_math_ops.py", line 1712, in batch_mat_mul_v2
"BatchMatMulV2", x=x, y=y, adj_x=adj_x, adj_y=adj_y, name=name)
File "D:\python\lib\site-packages\tensorflow_core\python\framework\op_def_library.py", line 794, in _apply_op_helper
op_def=op_def)
File "D:\python\lib\site-packages\tensorflow_core\python\util\deprecation.py", line 507, in new_func
return func(*args, **kwargs)
File "D:\python\lib\site-packages\tensorflow_core\python\framework\ops.py", line 3357, in create_op
attrs, op_def, compute_device)
File "D:\python\lib\site-packages\tensorflow_core\python\framework\ops.py", line 3426, in _create_op_internal
op_def=op_def)
File "D:\python\lib\site-packages\tensorflow_core\python\framework\ops.py", line 1770, in init
control_input_ops)
File "D:\python\lib\site-packages\tensorflow_core\python\framework\ops.py", line 1610, in _create_c_op
raise ValueError(str(e))
ValueError: Dimensions must be equal, but are 64 and 1 for 'multi_attention/inter_linear_trans/MatMul' (op: 'BatchMatMulV2') with input shapes: [?,?,64], [?,1,250].

summmeer commented

@Yang-Yan-Yang-Yan Hi, I update the getILD function, for Globo dataset, the original one costs a lot of time, and seems like dead loop. I think now the training time can be normal.

nibyig commented

其实啊，这不是死循环，只要花费五十个小时就可以跑完一个epoch（不要问我如何知道）