Trung-Hoang Le
Trung-Hoang Le
@tqtg Taking [Streaming Session-based Recommendation (SSR)](https://dl.acm.org/doi/pdf/10.1145/3523227.3548485) scenario as an example, a dataset is split chronologically with ratio 60:40. The latter 40% is then split into 5 folds (8% each). Training...
Shall we have multiple hierarchies for grouping models into tasks (general recommendation, next-item recommendation, next-basket recommendation) or modalities (text or review, graph, image, sentiment), etc?
Some models with a large number of parameters cannot generate scores for a large number of items (using batch scoring function) due to insufficient memory. Especially, when the scoring function...
> @lthoang are we actively working on this? Yes. I will be back to this model next week.
[FEATURE] Allow running evaluation on validation set during training or right after training is done
> for MMNR model, what does it mean by using different external data for validation and test? can we have a specific example? @tqtg, If we look closely at this...
[FEATURE] Allow running evaluation on validation set during training or right after training is done
@tqtg let's say we evaluate `val_set` inside `fit` for early stopping/monitoring. After the training is done and we perform evaluation on VALIDATION, the model has to do inference on the...
> Do we need it to preserve the order of `b3` for validation and `b4` for testing, or it can be arbitrary? @tqtg I think we should preserve the order...
> Using validation data for testing is also a debatable topic. I think it's good to include a couple of paper references as motivation for this feature. [MMNR: Multi-view Multi-aspect...
@tqtg Up to the current release `2.2.2`, we haven't support hyperparameter tuning for NextItemRecommender model. We need another PR to support this feature. @logrkn You can apply the following snippet...
Hi @buhrmann, Thank you for raising problem. The solution you mentioned [above](https://github.com/PreferredAI/cornac/issues/662#issuecomment-2698192958) is valid.