Search Results for author:
Found 4 papers, 1 papers with code
OpsEval: A Comprehensive IT Operations Benchmark Suite for Large Language Models
Information Technology (IT) Operations (Ops), particularly Artificial Intelligence for IT Operations (AIOps), is the guarantee for maintaining the orderly and stable operation of existing information systems.
Micro- and Macro-Level Churn Analysis of Large-Scale Mobile Games
In this paper, we present the first large-scale churn analysis for mobile games that supports both micro-level churn prediction and macro-level churn ranking.
Streaming Network Embedding through Local Actions
Thus the approach of adapting the existing methods to the streaming environment faces non-trivial technical challenges.
A Semi-Supervised and Inductive Embedding Model for Churn Prediction of Large-Scale Mobile Games
To evaluate the performance of our solution, we collect real-world data from the Samsung Game Launcher platform that includes tens of thousands of games and hundreds of millions of user-app interactions.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
