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#sequential-models News & Analysis

2 articles tagged with #sequential-models. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles
AIBullisharXiv – CS AI · Feb 276/105
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Generative Data Transformation: From Mixed to Unified Data

Researchers propose TAESAR, a new data-centric framework for improving recommendation models by transforming mixed-domain data into unified target-domain sequences. The approach uses contrastive decoding to address domain gaps and data sparsity issues, outperforming traditional model-centric solutions while generalizing across various sequential models.

AIBullisharXiv – CS AI · Mar 44/103
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Sensory-Aware Sequential Recommendation via Review-Distilled Representations

Researchers propose ASEGR, a novel AI framework that enhances product recommendation systems by extracting sensory attributes from user reviews using large language models. The system uses a two-stage pipeline where an LLM extracts structured sensory data which is then distilled into compact embeddings for sequential recommendation models.