SISA-Rec: A Semantically Integrated Sequential Recommender with Contrastive Alignment
The proposed SISA-Rec (Semantically Integrated Sequential Recommendation), a transformer-based framework that embeds semantic context directly into sequential modeling, demonstrates the value of semantic information when user behavior data is scarce.