Author

Yi-Ping Han

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#machine learning Preprint Sep 2026

LIGE-GR: A Smooth Leap from Ranking to Generative Recommendation in the LLM Era

The remarkable success of large language models (LLMs) has provided important inspiration for the next generation of recommender systems. Structurally, recommendation and language generation share a similarity: both aim to produce an ordered sequence that optimizes the user's experience. However, how to precisely absor...

Venkat Srinivas, Chen-Zhang He, Sam Woodmansee et al. · 0 citations

Jul 2026

SlimPer: Make Personalization Model Slim and Smart

SlimPer unifies sparse, dense, and sequence features within a single backbone and provides inherent interpretability through its attention mechanism, which yields measurable improvements in user engagement while streamlining the overall system and enabling effective modeling of 10k+ fine-grained user history events.

Siqi Wang, Xian-Jie Chen, Shaofen Deng et al. · arXiv.org · 1 citation