34 citations · 58 across the 3 of their papers we have counts for
3 papers
cs.IR2023★ 1 cited
Streaming CTR Prediction: Rethinking Recommendation Task for Real-World Streaming Data
Qi-Wei Wang, Hongyu Lu, Yu Chen +4
The Click-Through Rate (CTR) prediction task is critical in industrial recommender systems, where models are usually deployed on dynamic streaming data in practical applications. S…
cs.IR2023★ 23 cited
Large Language Models are Zero-Shot Rankers for Recommender Systems
Yupeng Hou, Junjie Zhang, Zihan Lin +4
Recently, large language models (LLMs) (e.g., GPT-4) have demonstrated impressive general-purpose task-solving abilities, including the potential to approach recommendation tasks.…
cond-mat.soft2016★ 34 cited
In Situ Simultaneous Measuring Forces Acted on Individual Legs of Water Striders According to Archimedes' Principle
Yelong Zheng, Hongyu Lu, Wei Yin +3
The supporting forces of all the legs have been simultaneously measured through a natural phenomenon inspired shadow method, by capturing water strider leg shadows to calculate the…