3 papers
cs.IR2026
OneShot: Index-in-Ranking with Neural Scoring for Large-Scale Retrieval
Ziwei Li, Shuyao Li, Xufeng Cai +12
In modern recommendation systems, retrieval serves as a primary stage responsible for filtering billions of candidate items down to thousands prior to refined ranking. To make this…
cs.IR2025
Real-time Indexing for Large-scale Recommendation by Streaming Vector Quantization Retriever
Xingyan Bin, Jianfei Cui, Wujie Yan +7
Retrievers, which form one of the most important recommendation stages, are responsible for efficiently selecting possible positive samples to the later stages under strict latency…
cs.IR2024
Trinity: Syncretizing Multi-/Long-tail/Long-term Interests All in One
Jing Yan, Liu Jiang, Jianfei Cui +4
Interest modeling in recommender system has been a constant topic for improving user experience, and typical interest modeling tasks (e.g. multi-interest, long-tail interest and lo…