Open sak360 opened 5 years ago
One advantage of sequential models is that they can immediately ingest new interactions: you don't need to retrain the model to update your user representations with new actions. If the order of interactions isn't important to you, try the pooling representation.
Just stumbled upon this project and it look great!
I am trying to conceptually understand what type of recommender to build. The sequence in my data set cannot be assumed (think of it as more like a bucket of items) and only contains implicit data....does it still make sense to try building sequential models or should I just stick with an implicit MF approach?