AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
3 papers indexed here
We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.
Not the right person? Other researchers publish under this name.
CBRank, a Content-and-Behavior fusion learning to Rank framework, unifying content-based and behavioral signals within a pre-trained language model (PLM) to solve the “satisfaction-diverse” challenge of web search.
In large-scale networked systems such as online marketplaces and advertising exchanges, real-time decision-making under dynamic environments is a fundamental challenge. A widely adopted paradigm is the predict-then-optimize workflow, where the prediction stage estimates key factors for decisions, and the optimization s...
This work calibrates the tractable one-period objective using an auxiliary memoryless discounted surrogate, and yields an Equimarginal Principle requiring efficient platforms to equalize the marginal retention efficiency of assignment and contracting.
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.