Modern machine learning techniques, particularly deep learning, have shown remarkable efficacy in numerous knowledge discovery and data mining applications. However, the advancement of these methods is frequently impeded by resource constraint challenges in many scenarios, such as limited labeled data (data-level), sma...
Chu-Xu Zhang, Kai-Ze Ding, D. Xu et al.· Proceedings of the 32nd ACM...· 0 citations
This work proposes Request-Oriented Compute Sharing (ROCS), a modeling and inference paradigm that exploits a unique property of recommendation inference: each user request is evaluated against many candidates, while request-side features are shared across candidates.