liuqidong07/DiffuASR
[CIKM'23] The official implementation code of DiffuASR.
This tool helps e-commerce managers and content curators improve their personalized recommendations. By taking existing customer interaction data, it generates more diverse and representative user behavior sequences. The output is an enriched dataset that can lead to better product suggestions and content discovery for individual users.
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Use this if you need to enhance your existing sequential user data to train more robust and accurate recommendation models.
Not ideal if you are looking for a pre-built recommendation system rather than a method to augment your dataset for one.
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43
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6
Language
Python
License
MIT
Category
Last pushed
May 07, 2024
Commits (30d)
0
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