BLaIR roberta base BLaIR, which is short for " B ridging La nguage and I tems for R etrieval and R ecommendation", is a series of language models pre trained on Amazon Reviews 2023 dataset. BLaIR is grounded on pairs of (item metadata, language context) , enabling the models to: derive strong item text representations, for both recommendation and retrieval; predict the most relevant item given simple / complex language context. [📑 Paper] · [💻 Code] · [🌐 Amazon Reviews 2023 Dataset] · [🤗 Huggingface Datasets] · [🔬 McAuley Lab] Model Details Language(s) (NLP): English License: MIT Finetuned from model: roberta base Repository: https://github.com/hyp1231/AmazonReviews2023 Paper: https://arxiv.org/abs/2403.03952 Use with HuggingFace Citation If you find Amazon Reviews 2023 dataset, BLaIR checkpoints, Amazon C4 dataset, or our scripts/code helpful, please cite the following paper. Contact Please let us know if you encounter a bug or have any suggestions/questions by filling an issue or emailing Yupeng Hou at yphou@ucsd.edu.
We use cookies for essential functionality and analytics. You can accept or reject analytics cookies.Cookie policy