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README.md
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Checkpoints and artifacts for **On the Memorization and Generalization of Generative Recommendation**.
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[Paper] [Code] [Dataset]
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[Paper]: <link not ready yet>
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[Code]: https://github.com/Jamesding000/MemGen-GR
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## Evaluation
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```
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CUDA_VISIBLE_DEVICES=0 python mem_gen_evaluation.py \
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--model=TIGER \
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Checkpoints and artifacts for **On the Memorization and Generalization of Generative Recommendation**.
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\[[Paper]\] \[[Code]\] \[[Dataset]\]
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[Paper]: <link not ready yet>
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[Code]: https://github.com/Jamesding000/MemGen-GR
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```
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## Evaluation
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You can run fine-grained evaluation using the saved `checkpoint_path` and `sem_ids_path`:
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```
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CUDA_VISIBLE_DEVICES=0 python mem_gen_evaluation.py \
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--model=TIGER \
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