metadata
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.