e947408
(RNN)
change hyper parameters by
2022-03-07 11:07:15 +0330
de53dda
Implementing Robustify Negative sampling and undo prepossessing by
2022-03-06 19:52:06 +0330
dbbec9f
repair bug of skipping in sequence by
2022-02-07 23:47:31 +0330
52f4746
using GRU instead of LSTM by
2022-01-31 12:25:40 +0330
703b6e5
could skip sequence (p=0.5) by
2022-01-30 09:11:16 +0330
372e75d
hyper parameter tuning including neg_size by
2021-12-28 15:04:38 +0330
c89c660
hyper parameter tuning including neg_size by
2021-12-21 17:12:54 +0330
8432f28
implement top1 by
2021-12-16 18:52:11 +0330
dca86ac
implement bpr and bpr_max loss by
2021-12-16 18:13:37 +0330
703d2aa
bpr loss + 5X NS by
2021-12-14 07:01:05 +0330
6af0db4
Distribute NS to all member of the sequence (except last item of seq in support-set) by
2021-12-13 04:18:19 +0330
2a680a2
increase NS size (10X) + choose K most scored for NS by
2021-12-13 01:32:10 +0330
de111c7
negative sampling by choosing from other user's items by
2021-12-12 20:53:41 +0330
b79f900
make sampler to choose only sequenced items + write results by
2021-12-07 15:55:49 +0330
8e21c39
cuda setting fixed by
2021-11-26 19:42:41 +0330
5c17c5e
bug fixing for hyper parameter tuning by
2021-11-15 06:54:58 +0330
6029ca9
using ray for hyper-parameter tanning by
2021-11-10 06:22:15 +0330
9cbfd2a
input all sequence of items to a LSTM (instead of averaging pairs) by
2021-11-05 02:51:08 +0330
1c015e3
using LSTM instead of MLP by
2021-11-03 19:06:55 +0330
f3bf760
(HEAD -> master)
first commit by
2021-10-22 13:53:13 +0330
9e1c651
first commit by
2021-10-22 13:50:17 +0330