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News/Escaping the Euclidean Void: Manifold-Informed Flow Matching for Sequential Recommendation
arxiv
PublishedJuly 28, 2026 at 4:00 AM

Escaping the Euclidean Void: Manifold-Informed Flow Matching for Sequential Recommendation

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arXiv:2607.23762v1 Announce Type: cross Abstract: Conventional recommenders capture users' preferences by optimizing observed user-item relations, whereas continuous generative recommendation additionally learns the trajectory of synthesizing a target item. Flow matching drives this process by gradu

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