1 views collected around this technical thread.
The article explores how AIOps, a human‑machine collaborative approach powered by data, algorithms, and contextual knowledge, transforms modern operations by enabling real‑time insight, predictive decision‑making, automated execution, and continuous feedback, especially in complex, security‑sensitive environments like finance.
This article presents a meta‑learning based end‑to‑end task‑oriented dialogue system that quickly adapts to new scenarios with limited data and improves robustness through a human‑machine collaboration decision module, validated on extended‑bAbI benchmarks and real‑world Alibaba Cloud customer‑service applications.
This article summarizes the award‑winning CIKM 2017 paper “Hike: A Hybrid Human‑Machine Method for Entity Alignment in Large‑Scale Knowledge Bases,” explaining its motivation, the entity‑partition and predicate‑similarity techniques, the construction of partial orders, question‑selection strategies, inference modeling, error‑tolerance mechanisms, and the greedy algorithms that together achieve state‑of‑the‑art alignment performance.