Tag: sequential recommendation

Researchers have developed DynFreqRec, a frequency-aware sequential recommendation framework that coordinates training and inference to maintain robust prediction performance under ...

A new method called CEGDSR combines global and disentangled intent-aware representations to improve sequential recommendation, outperforming several strong baselines on ...

Researchers propose MELRec, a modular end-to-end framework that combines GPT-2 semantic encoding with lightweight behavior modeling and achieved leading or ...

A new hybrid framework called LLMTransRec combines transformer sequence modeling with large language model embeddings to improve recommendations across sparse ...

Researchers at the Vellore Institute of Technology have built NEXUS-Rec, a five-signal neural recommender that outperforms strong baselines on MovieLens ...

Researchers have developed a unified graph-based recommendation method that sequences online learning resources according to conceptual dependencies and learner behavior.