how to implement target attention in this framework

[LeiShenVictoria]

In DeepInterestNetwork, there is a target attention between a candidate feature (one column) and a sequence feature, how to implement this target attention in this repo, which can be considered as an attention between a column in deep part (candidate) and the text part (sequence) i guess... Thanks a lot

[jrzaurin]

Hey @LeiShenVictoria

So I have not read the Deep Interest Network paper, I will, maybe I can incorporate some ideas to the library.

As of right now, the only thing "kind-of" similar you would have here are the attention weights of the models.

All model components that are based on attention mechanisms have an attribute called attention_weights: see here

I will have a look to the paper Deep Interest Network paper asap and see if I can come up with a quick answer that is more helpful :)

[LeiShenVictoria]

Hi, thanks for your reply. One more question is that how to implement the embedding-sharing operation for a candidate feature and a sequence feature.

[jrzaurin]

Hey @LeiShenVictoria

I would have to read the paper :)

I am busy at work now, but ill see what I can do asap

[jrzaurin]

Hi @LeiShenVictoria

There is a brach called ffm now where DIN is implemented

In the examples folder there is a script called movielens_din.py with an example 🙂.

I know the issue was opened a while ago, but took me time to find the time.

Let me know if you have any questions

[jrzaurin]

Covered in PR #234