| | --- |
| | datasets: |
| | - McAuley-Lab/Amazon-Reviews-2023 |
| | language: |
| | - en |
| | base_model: |
| | - google-bert/bert-base-uncased |
| | --- |
| | |
| | This is a very simple approach of mine towards creating a recommendation model. |
| | I have used the bert-based-uncased model and finetuned it. |
| | The dataset as mentioned is Amazon Reviews 2023, a recent one. Although I could not involve all of the categories, I have tried running it on a small one, Magazine Subscriptions. |
| |
|
| | Due to time, resource and space constraints, this was a tiny yet successful effort towards modelling a recommender. |
