An innovative job advert writing tool for recruiters using AI/ML that could reduce time spent writing ads by 96% and increase application rates by 204%
An%20innovative%20job%20advert%20writing%20tool%20for%20recruiters%20using%20AI/ML%20that%20可以%20减少%20time%20spent%20writing%20ads%20by%2096%%20and%20increase%20application%20rates%20by
基本信息
- 批准号:10058275
- 负责人:
- 金额:$ 43.75万
- 依托单位:
- 依托单位国家:英国
- 项目类别:Collaborative R&D
- 财政年份:2023
- 资助国家:英国
- 起止时间:2023 至 无数据
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
AdBuilder is a UK-based recruitment software SME with a core project team of James Ball (Founder), Andrew Hardman (Head of Strategy), Kate Madden (Project Manager) and James Vickery and Aaron Tello-Wharton (development team).Writing effective job advertisements that rank high enough in online search results takes a considerable amount of time and effort for recruitment agencies. With the rising cost of advertising online (12% year-over-year increase), agencies need to ensure that every advertisement maximises their chances of attracting top talent while maintaining a profitable level of operational efficiency. On top of that, human errors and biases disproportionately discourage women from applying to available positions. Statistically, women will only apply for a job if they meet 55.7% of all listed criteria (UK Government Equalities Office, 2022).This has led to a highly competitive environment for recruitment agencies, resulting in a substantial need for a tool that can help them write optimal job adverts that rank high in online job board searches and encourage any talented candidate to apply.AdBuilder already offers a wizard-based job advert writing tool, but wants to use an AI/ML solution to take the automation to a new level and minimise any effort for the recruiter.AdBuilder's innovative system for automating the process of writing job adverts will help recruiters to create fully optimised and inclusive listings that compel the best applicants to apply.AdBuilder's AI will automatically eliminate human error and any unconscious bias or exclusionary terms from the process, and it will be the first AI/ML led copywriting system of its kind for creating optimised job adverts.
Adbuilder是一家总部位于英国的招聘软件中小企业,由詹姆斯·鲍尔(James Ball)(创始人),安德鲁·哈德曼(Andrew Hardman)(策略主管),凯特·马登(Kate Madden)(项目经理)和詹姆斯·维克里(James Vickery)和亚伦·泰洛·惠尔顿(Aaron Tello-Wharton)(开发团队)。编写有效的工作广告,在线搜索结果中排名很高的时间和精力。随着在线广告的成本上涨(同比增长12%),代理商需要确保每个广告都可以最大限度地吸引顶尖人才的机会,同时保持有利可图的运营效率水平。最重要的是,人类的错误和偏见不成比例地阻止妇女申请可用职位。从统计上讲,妇女只有满足所有上市标准的55.7%(英国政府平等办公室,2022年)才能申请工作。这导致了招聘机构的竞争激烈的环境,从而实现了对工具的重要需求,从而可以帮助他们在网上搜索中撰写最佳的作品,但仍需要提供任何才华横溢的候选工具。 AI/ML solution to take the automation to a new level and minimise any effort for the recruiter.AdBuilder's innovative system for automating the process of writing job adverts will help recruiters to create fully optimised and inclusive listings that compel the best applicants to apply.AdBuilder's AI will automatically eliminate human error and any unconscious bias or exclusionary terms from the process, and it will be the first AI/ML led为创建优化的招聘广告的同类文案写作系统。
项目成果
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专利数量(0)
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其他文献
Tetraspanins predict the prognosis and characterize the tumor immune microenvironment of glioblastoma.
- DOI:
10.1038/s41598-023-40425-w - 发表时间:
2023-08-16 - 期刊:
- 影响因子:4.6
- 作者:
- 通讯作者:
Comparison of a novel self-expanding transcatheter heart valve with two established devices for treatment of degenerated surgical aortic bioprostheses.
- DOI:
10.1007/s00392-023-02181-9 - 发表时间:
2024-01 - 期刊:
- 影响因子:0
- 作者:
- 通讯作者:
Axotomy induces axonogenesis in hippocampal neurons through STAT3.
- DOI:
10.1038/cddis.2011.59 - 发表时间:
2011-06-23 - 期刊:
- 影响因子:9
- 作者:
- 通讯作者:
Humoral responses to the SARS-CoV-2 spike and receptor binding domain in context of pre-existing immunity confer broad sarbecovirus neutralization.
- DOI:
10.3389/fimmu.2022.902260 - 发表时间:
2022 - 期刊:
- 影响因子:7.3
- 作者:
- 通讯作者:
Empagliflozin Treatment Attenuates Hepatic Steatosis by Promoting White Adipose Expansion in Obese TallyHo Mice.
- DOI:
10.3390/ijms23105675 - 发表时间:
2022-05-18 - 期刊:
- 影响因子:5.6
- 作者:
- 通讯作者:
的其他文献
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{{ truncateString('', 18)}}的其他基金
An implantable biosensor microsystem for real-time measurement of circulating biomarkers
用于实时测量循环生物标志物的植入式生物传感器微系统
- 批准号:
2901954 - 财政年份:2028
- 资助金额:
$ 43.75万 - 项目类别:
Studentship
Exploiting the polysaccharide breakdown capacity of the human gut microbiome to develop environmentally sustainable dishwashing solutions
利用人类肠道微生物群的多糖分解能力来开发环境可持续的洗碗解决方案
- 批准号:
2896097 - 财政年份:2027
- 资助金额:
$ 43.75万 - 项目类别:
Studentship
A Robot that Swims Through Granular Materials
可以在颗粒材料中游动的机器人
- 批准号:
2780268 - 财政年份:2027
- 资助金额:
$ 43.75万 - 项目类别:
Studentship
Likelihood and impact of severe space weather events on the resilience of nuclear power and safeguards monitoring.
严重空间天气事件对核电和保障监督的恢复力的可能性和影响。
- 批准号:
2908918 - 财政年份:2027
- 资助金额:
$ 43.75万 - 项目类别:
Studentship
Proton, alpha and gamma irradiation assisted stress corrosion cracking: understanding the fuel-stainless steel interface
质子、α 和 γ 辐照辅助应力腐蚀开裂:了解燃料-不锈钢界面
- 批准号:
2908693 - 财政年份:2027
- 资助金额:
$ 43.75万 - 项目类别:
Studentship
Field Assisted Sintering of Nuclear Fuel Simulants
核燃料模拟物的现场辅助烧结
- 批准号:
2908917 - 财政年份:2027
- 资助金额:
$ 43.75万 - 项目类别:
Studentship
Assessment of new fatigue capable titanium alloys for aerospace applications
评估用于航空航天应用的新型抗疲劳钛合金
- 批准号:
2879438 - 财政年份:2027
- 资助金额:
$ 43.75万 - 项目类别:
Studentship
Developing a 3D printed skin model using a Dextran - Collagen hydrogel to analyse the cellular and epigenetic effects of interleukin-17 inhibitors in
使用右旋糖酐-胶原蛋白水凝胶开发 3D 打印皮肤模型,以分析白细胞介素 17 抑制剂的细胞和表观遗传效应
- 批准号:
2890513 - 财政年份:2027
- 资助金额:
$ 43.75万 - 项目类别:
Studentship
CDT year 1 so TBC in Oct 2024
CDT 第 1 年,预计 2024 年 10 月
- 批准号:
2879865 - 财政年份:2027
- 资助金额:
$ 43.75万 - 项目类别:
Studentship
Understanding the interplay between the gut microbiome, behavior and urbanisation in wild birds
了解野生鸟类肠道微生物组、行为和城市化之间的相互作用
- 批准号:
2876993 - 财政年份:2027
- 资助金额:
$ 43.75万 - 项目类别:
Studentship
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