2 papers
cs.IR2026
Fortress: A Case Study in Stabilizing Search Recommendations via Temporal Data Augmentation and Feature Pruning
Milind Pandurang Jagre, Jia Huang, Dayvid V. R. Oliveira +6
In search and recommendation systems, predictive models often suffer from temporal instability when certain input features introduce volatility in output scores. This instability c…
cs.DC2018
On the Performance and Convergence of Distributed Stream Processing via Approximate Fault Tolerance
Zhinan Cheng, Qun Huang, Patrick P. C. Lee
Fault tolerance is critical for distributed stream processing systems, yet achieving error-free fault tolerance often incurs substantial performance overhead. We present AF-Stream,…