The semantic search and match technology<\/span><\/h3>\n<\/div><\/div>1. How can semantic searching and matching transform your recruitment process?<\/u><\/a>
\n2. How does semantic searching and matching work?<\/u><\/a>
\n3. How is our semantic engine born?<\/u><\/a><\/p>\n<\/div><\/div>![](\"https:\/\/www.arca24.com\/skillskan\/wp-content\/uploads\/2023\/02\/skillskan_the-semantic-search-and-match-technology.jpg\" "\\"skillskan_the")
<\/span><\/div><\/div><\/div>\n\t\t\n\t\tLatest news<\/h4><\/div>\n\t\t\n\t\t\t\t\t\t\t\t\t\t\t- \n\t\t\t\t\tAI in recruiting: next generation<\/a>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t\t\t\t
- \n\t\t\t\t\tRecruiting and Artificial Intelligence: why it is important to use it in an Applicant Tracking System<\/a>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t\t\t\t
- \n\t\t\t\t\tJobfeed for the lead generation<\/a>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t\t\t\t
- \n\t\t\t\t\tResume parsing and OCR technology<\/a>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t\t\t\t
- \n\t\t\t\t\tOptical Character Recognition<\/a>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t\t\t\t
- \n\t\t\t\t\tThe semantic search and match technology<\/a>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t<\/ul>\n\n\t\t<\/section>
What is Skillskan<\/h4><\/div>\t\t\tSkillskan brings the best AI recruiting technology available as a web service to empower your talent acquisition strategy.<\/p>\n
Our AI multilingual tools include resume and job matching<\/a>, semantic search<\/a>, resume parser<\/a> for text and images, external sourcing<\/a>, lead generator<\/a> as well as tools to develop<\/a> an advanced search system in your ATS.<\/p>\nA solution for:<\/p>\n
– corporate<\/a>
\n– staffing and recruitment agencies<\/a>
\n– developer and software house<\/a>
\n– job board and software vendors<\/a><\/p>\n<\/div>\n\t\t<\/section><\/div><\/div><\/div><\/div><\/div><\/div>1. How can semantic searching and matching transform your recruitment process?<\/span><\/h3>\nOur semantic searching and matching technology can empower many of your companies processes.<\/p>\n
\n- It search in your past applicants to reduce recruitment cost<\/li>\n
- It identify the best candidates in the external database<\/li>\n
- It rank your incoming candidates to reduce time-to-hire<\/li>\n
- It sent job recommendations to improve your candidates experience<\/li>\n
- It enable you to match your employees skills with open jobs<\/li>\n<\/ul>\n<\/div><\/div><\/div><\/div><\/div><\/div>
2. How does semantic searching and matching work?<\/span><\/h3>\nProfessional skills are analyzed and evaluated by calculation algorithms, to then be accepted or rejected based on parameters of professional proximity.<\/p>\n
The algorithm runs an extraction of the professional tags contained in the job offers; then it compares them with the skills found in the candidates\u2019 CVs and displays the list of candidates sorted by degree of compatibility for the selected talent pool.<\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div>
3. How is our semantic engine born?<\/span><\/h3>\nTen years ago when we created our semantic engine, the ” professional tags” were searched and analyzed manually, but later, with a machine learning project, the work has been handed over to software.<\/p>\n
For each single profession, the software has the task of indicating and identifying the jobs that have not yet been considered.<\/p>\n
The software does not choose independently, but suggests.<\/p>\n
Accepting or rejecting a task will create additional rules that the machine will learn for future suggestions.<\/p>\n
The end result is a huge amount of work, we talk about big data, that can be done automatically by the machine. We are talking about machine learning because our semantic engine learns and improves every day.<\/p>\n<\/div><\/div><\/div>
1. How can semantic searching and matching transform your recruitment process?<\/u><\/a> Skillskan brings the best AI recruiting technology available as a web service to empower your talent acquisition strategy.<\/p>\n Our AI multilingual tools include resume and job matching<\/a>, semantic search<\/a>, resume parser<\/a> for text and images, external sourcing<\/a>, lead generator<\/a> as well as tools to develop<\/a> an advanced search system in your ATS.<\/p>\n A solution for:<\/p>\n – corporate<\/a> Our semantic searching and matching technology can empower many of your companies processes.<\/p>\n Professional skills are analyzed and evaluated by calculation algorithms, to then be accepted or rejected based on parameters of professional proximity.<\/p>\n The algorithm runs an extraction of the professional tags contained in the job offers; then it compares them with the skills found in the candidates\u2019 CVs and displays the list of candidates sorted by degree of compatibility for the selected talent pool.<\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div> Ten years ago when we created our semantic engine, the ” professional tags” were searched and analyzed manually, but later, with a machine learning project, the work has been handed over to software.<\/p>\n For each single profession, the software has the task of indicating and identifying the jobs that have not yet been considered.<\/p>\n The software does not choose independently, but suggests.<\/p>\n Accepting or rejecting a task will create additional rules that the machine will learn for future suggestions.<\/p>\n The end result is a huge amount of work, we talk about big data, that can be done automatically by the machine. We are talking about machine learning because our semantic engine learns and improves every day.<\/p>\n<\/div><\/div><\/div>
\n2. How does semantic searching and matching work?<\/u><\/a>
\n3. How is our semantic engine born?<\/u><\/a><\/p>\n<\/div><\/span><\/div><\/div><\/div>Latest news<\/h4><\/div>\n\t\t
\n\t\t\t\t\t\t\t\t\t\t\t
What is Skillskan<\/h4><\/div>\t\t\t
\n– staffing and recruitment agencies<\/a>
\n– developer and software house<\/a>
\n– job board and software vendors<\/a><\/p>\n<\/div>\n\t\t<\/section>1. How can semantic searching and matching transform your recruitment process?<\/span><\/h3>\n
\n
2. How does semantic searching and matching work?<\/span><\/h3>\n
3. How is our semantic engine born?<\/span><\/h3>\n
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