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Apr, 2023
条件去噪漫扩散在顺序推荐中的应用
Conditional Denoising Diffusion for Sequential Recommendation
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Yu Wang, Zhiwei Liu, Liangwei Yang, Philip S. Yu
TL;DR
本研究提出了一种 条件去噪扩散模型 以应对生成敌对网络和变分自编码器在顺序推荐任务中的挑战,通过将过程分成易于处理的步骤来简化优化和推荐任务,同时采用新的优化模式,模型能够生成高质量的序列/项目表示并防止折叠
Abstract
generative models
have attracted significant interest due to their ability to handle uncertainty by learning the inherent data distributions. However, two prominent
generative models
, namely Generative Adversaria
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