Viewing a single comment thread. View all comments

jrhabana t1_izgnvw0 wrote

We solved with lightgbm, for news to suggest.

if you have the tabular data, (user properties, buyed product, previous X products viewed), sets the buyed product as target and you had your recommender done.

There's a lot of examples doing it with lightgbm or xgboost (gbm is faster)

2

Pine_Barrens t1_izxmxmu wrote

How do you typically use the "previous X products viewed" in the model? As categoricals/text embeddings, somewhat? Are you doing any within user "ranking"/"group" losses, or just using an overall multi-classification model?

1

jrhabana t1_j0iyi1b wrote

the previous X is the result of a top-k N id's or categories (we used various models) and with the output apply some business rules, like seasson, recently, etc

1