BBDRec applies Brownian bridge diffusion to enable direct item-to-history transitions in sequential recommendation, outperforming prior diffusion and sequential baselines on public datasets.
arXiv preprint arXiv:2409.05033 (2024)
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DiffCold applies conditional diffusion to generate warm-item-like embeddings from cold-item content, with retrieval aggregation and contrastive alignment, to eliminate the seesaw dilemma between cold and warm item performance.
A2Gen treats timed user actions on short videos as generative sequences and reports large-scale online gains in watch time, interactions, and retention.
citing papers explorer
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Brownian Bridge Diffusion for Sequential Recommendation
BBDRec applies Brownian bridge diffusion to enable direct item-to-history transitions in sequential recommendation, outperforming prior diffusion and sequential baselines on public datasets.
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DiffCold: A Diffusion-based Generative Model for Cold-Start Item Recommendation
DiffCold applies conditional diffusion to generate warm-item-like embeddings from cold-item content, with retrieval aggregation and contrastive alignment, to eliminate the seesaw dilemma between cold and warm item performance.
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Action-Aware Generative Sequence Modeling for Short Video Recommendation
A2Gen treats timed user actions on short videos as generative sequences and reports large-scale online gains in watch time, interactions, and retention.