1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.DC2026
RelayGR: Scaling Long-Sequence Generative Recommendation via Cross-Stage Relay-Race Inference
Jiarui Wang, Huichao Chai, Yuanhang Zhang +38
Real-time recommender systems execute multi-stage cascades (retrieval, pre-processing, fine-grained ranking) under strict tail-latency SLOs, leaving only tens of milliseconds for r…
cs.IR2025★ 1 cited
Separated Contrastive Learning for Matching in Cross-domain Recommendation with Curriculum Scheduling
Heng Chang, Liang Gu, Cheng Hu +5
Cross-domain recommendation (CDR) is a task that aims to improve the recommendation performance in a target domain by leveraging the information from source domains. Contrastive le…
cs.IR2024
A Practice-Friendly LLM-Enhanced Paradigm with Preference Parsing for Sequential Recommendation
Dugang Liu, Shenxian Xian, Xiaolin Lin +5
The training paradigm integrating large language models (LLM) is gradually reshaping sequential recommender systems (SRS) and has shown promising results. However, most existing LL…