I got a super overfitting problem when I train DIN

[Laugigabyte]

I got a super overfitting problem when I train DIN finally, but first of all I'd like to point out some probelms

1. We'd to use .split(" ") instead of .split("") when we split the history behavior part of the dataset?
2. Related to point 1, shall we use + " " instead of + "" in building the history behavior part?
3. After changing the above 2 points, I still got a very overfitting result that train accuracy of almost 1. and test accuracy of about 0.5 -0.6 only.
   Please give me some guideline if you could, thx.