Dec 20, 2022 · Industry Insights

Can Recommendation Algorithms Speed Up Test Case Prioritization? A Bilibili Case Study

This article presents a detailed study on applying recommendation‑system techniques to test case prioritization for Bilibili's mobile apps, describing the problem definition, evaluation metrics, data processing, FM model selection, experimental results, practical deployment, and future research directions.

BilibiliSoftware Testingfactorization machine

0 likes · 13 min read

Can Recommendation Algorithms Speed Up Test Case Prioritization? A Bilibili Case Study

Sohu Tech Products

Apr 17, 2019 · Artificial Intelligence

CTR Estimation in Recommendation Systems: From Logistic Regression to Deep & Cross Networks

This article reviews the evolution of click‑through‑rate (CTR) estimation models for recommendation ranking, covering logistic regression, feature‑engineering tricks, factorization machines, deep neural networks, wide‑and‑deep architectures, and the Deep & Cross Network, while discussing their strengths, limitations, and future research directions.

CTRDeep Learningcross network

0 likes · 14 min read

CTR Estimation in Recommendation Systems: From Logistic Regression to Deep & Cross Networks

Can Recommendation Algorithms Speed Up Test Case Prioritization? A Bilibili Case Study

CTR Estimation in Recommendation Systems: From Logistic Regression to Deep &amp; Cross Networks

CTR Estimation in Recommendation Systems: From Logistic Regression to Deep & Cross Networks