Sept. 8, 2022, 1:11 a.m. | Qinyi Zhu, Liang Wu, Qi Guo, Liangjie Hong

cs.LG updates on arXiv.org arxiv.org

The spread of COVID-19 leads to the global shutdown of many corporate
offices, and encourages companies to open more opportunities that allow
employees to work from a remote location. As the workplace type expands from
onsite offices to remote areas, an emerging challenge for an online hiring
marketplace is how these remote opportunities and user intentions to work
remotely can be modeled and matched without prior information. Despite the
unprecedented amount of remote jobs posted amid COVID-19, there is no …

arxiv graph graph neural networks networks neural networks optimization remote remote work work

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