Fusing frozen LLM item embeddings into MSGAT and NISER improves Recall@20 on Amazon datasets, and re-ranking with the vanilla model restores MRR, though the gains are not consistent across all configurations.
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SemSR: Semantics aware robust Session-based Recommendations
Fusing frozen LLM item embeddings into MSGAT and NISER improves Recall@20 on Amazon datasets, and re-ranking with the vanilla model restores MRR, though the gains are not consistent across all configurations.