[jamesblonde]

I thought the two-tower embedding model was now the go-to approach for building real-time recommendation engines?

https://www.linkedin.com/pulse/personalized-recommendations-...

[random314]

In a certain sense, matrix factorization is a special case of a TTSN with RMSE loss.

If you want cross entropy loss, use word2vec.

Follow it up with a lambdarank ranker.