Author

Yue Weng

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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

Book Open access Aug 2026

Shape Your Feed: An LLM-based Agentic System for Conversational Recommendation

Industrial recommendation systems predominantly adopt a passive ranking paradigm that infers user preferences from implicit behavioral signals (e.g., clicks, dwell time) rather than explicit, natural language inputs. As a result, users experience a persistent discrepancy between their explicit interests and what passiv...

Zi-Yun Xu, Bo-Sen Ding, Yue Zhang et al. · Proceedings of the 20th ACM... · 1 citation