2019
Staying up to Date with Online Content Changes Using Reinforcement Learning for Scheduling
NeurIPS 2019poster
From traditional Web search engines to virtual assistants and Web accelerators, services that rely on online information need to continually keep track of remote content changes by explicitly requesting content updates from remote sources (e.g., web pages). We propose a novel optimization objective…