daveawang1/

my_letter

This is the pytorch implementation of our paper:

Learnable Item Tokenization for Generative Recommendation

We propose LETTER (a LEarnable Tokenizer for generaTivE Recommendation), which integrates hierarchical semantics, collaborative signals, and code assignment diversity to satisfy the essential requirements of identifiers. LETTER incorporates Residual Quantized VAE for semantic regularization, a contrastive alignment loss for collaborative… See the full description on the dataset page: https://huggingface.co/datasets/daveawang1/my_letter.