Skip to content

2 papers indexed here

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Book Open access Sep 2026

Not All Branches Are Equal: Adaptive Semantic ID Construction for Generative Recommendation

Generative recommendation models represent items as sequences of discrete tokens known as semantic IDs. Existing approaches derive these identifiers using residual or hierarchical vector quantization, assuming that tokens carry independent semantic meaning across quantization levels. Revisiting this assumption, we argu...

Guy Hadad, Haggai Roitman, Bracha Shapira · 0 citations
#artificial intelligence Preprint Sep 2026

DeepAffinity: Long-Term Aspect Preference Prediction in eCommerce using Small Language Models

DeepAffinity is proposed, which leverages Small Language Models with structured prompts and specialized prediction heads fine-tuned for this task, and shows DeepAffinity outperforms standard generative fine-tuning methods, while general-purpose open-source LLMs perform poorly without task-specific tuning.

Yotam Eshel, Guy Hadad, Guy Feigenblat et al. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.