A recommender model that fuses multi-intent attention with Gaussian uncertainty representations is claimed to beat SASRec and BERT4Rec, but the evidence is not reproducible as presented.
Representation learning with large language models for recommendation
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Unified Representation Learning for Multi-Intent Diversity and Behavioral Uncertainty in Recommender Systems
A recommender model that fuses multi-intent attention with Gaussian uncertainty representations is claimed to beat SASRec and BERT4Rec, but the evidence is not reproducible as presented.