Papers with text-based recommendation
RecGPT: Generative Pre-training for Text-based Recommendation (2024.acl-short)
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| Challenge: | Existing models for text-based recommendation lack data sparsity and flexibility to capture fluctuations in user preferences over time. |
| Approach: | They present the first domain-adapted and fully-trained large language model for text-based recommendation. |
| Outcome: | The proposed model outperforms baseline models on rating prediction and sequential recommendation tasks. |
UniTRec: A Unified Text-to-Text Transformer and Joint Contrastive Learning Framework for Text-based Recommendation (2023.acl-short)
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| Challenge: | Existing text-based recommendation frameworks that use pretrained language models (PLMs) can improve performance on text-related tasks. |
| Approach: | They propose a unified local- and global-attention Transformer encoder to better model two-level contexts of user history. |
| Outcome: | The proposed framework improves on three text-based recommendation tasks. |