Understanding the textual components of resumes and job postings is critical for improving job-matching accuracy and optimizing job search systems in online recruitment platforms. However, existing works primarily focus on analyzing individual components within this information, requiring multiple specialized tools to analyze each aspect. Such disjointed methods could potentially hinder overall generalizability in recruitment-related text processing. Therefore, we propose a unified sentence encoder that utilized multi-task dual-encoder framework for jointly learning multiple component into the unified sentence encoder. The results show that our method outperforms other state-of-the-art models, despite its smaller model size. Moreover, we propose a novel metric, Language Bias Kullback-Leibler Divergence (LBKL), to evaluate language bias in the encoder, demonstrating significant bias reduction and superior cross-lingual performance.

Did you miss a session at the Data Summit? During the pandemic, hiring has become increasingly remote as companies eschew job fairs and other in-person recruitment initiatives in favor of alternatives. According to a LinkedIn survey, companies plan to adopt hiring processes that combine virtual and in-person steps due to the associated cost and time savings. But priorities in HR largely haven't changed. Jobvite's 2021 poll found that improving quality-of-hire, improving time-to-hire, increasing the retention rate, and growing the talent pipeline remain recruiters' top recruiting priorities.

The latest Digital Health News industry round up includes news on an automated recruitment platform for clinical studies, an acquisition in the medical imaging field and an Australian company focused on measuring coding launching into the UK. Former NHS leader, Tim Kelsey, has launched an international division of Beamtree into the UK – an Australian company that focuses on measuring coding and the quality of hospital care. Kelsey leads the Australian company, but the new London-based arm will be led by coding policy expert Jennifer Nobbs and former Paterson Inquiry advisor Alex Kafetz. Beamtree works with health organisations around the world in a bid to improve the capture, management and leverage of human expertise. The UK office will focus on AI in health, clinical decision support, data quality and analytics supporting better health outcomes.

It comes in many shapes and forms, and can be found almost anywhere in the workplace, but where we see it most at play – and where it can be most damaging for businesses – is during the recruitment process. Bias plays a major role when it comes to hiring new talent, whether we like to admit it or not. Most of the time it is unconscious bias, meaning it happens without even realising it, triggered by our brain making a quick judgment. Unconscious bias is more common than we think. In the workplace it's particularly rife, though most hate to admit it, which in turn makes it even more challenging to remove it.

We are all familiar with the major themes of the day: China's continued rise; the shifting of trading relationships following political changes in the United States and Europe; and technology's encroachment upon nearly every industry, from finance to medicine to marketing. So, what technological advances in the recruitment industry can we expect in 2018? How will companies like DaXtra help recruiters and candidates navigate the labour market in today's rapidly evolving digital economy? Given that this is intended to be a digestible summary of the year ahead, let me break the discussion down into three, easily identifiable topic categories: (1) technological innovation, (2) demographics and (3) regulation. On the innovation side we can expect a deeper commitment to improve recruitment technology – or, RecTech – AI, especially in the area of matching technology and big data analysis for a range of Asian languages.