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insikt - Sequence Denoising for Recommendations
SSDRec: Self-Augmented Sequence Denoising for Sequential Recommendation
提案されたSSDRecフレームワークは、主要なシーケンシャル推薦モデルに対して柔軟で効果的であり、最先端のデノイジング手法を凌駕しています。
SSDRec: Self-Augmented Sequence Denoising for Sequential Recommendation
Users' interaction sequences contain noise, affecting recommendation accuracy. SSDRec proposes a three-stage framework to augment sequences and denoise effectively.
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