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Found 3 papers, 1 papers with code
Plug-in Diffusion Model for Sequential Recommendation
To address this issue, this paper presents a novel Plug-in Diffusion Model for Recommendation (PDRec) framework, which employs the diffusion model as a flexible plugin to jointly take full advantage of the diffusion-generating user preferences on all items.
Cross-Modal Content Inference and Feature Enrichment for Cold-Start Recommendation
Multimedia recommendation aims to fuse the multi-modal information of items for feature enrichment to improve the recommendation performance.
Triple Sequence Learning for Cross-domain Recommendation
To address this issue, we present a novel framework, termed triple sequence learning for cross-domain recommendation (Tri-CDR), which jointly models the source, target, and mixed behavior sequences to highlight the global and target preference and precisely model the triple correlation in CDR.
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