Yissum - Research Development Company of the Hebrew University

Method for Smart, Unbiased Matching Between Job Seekers and Recruiters

Posted by Yissum - Research Development Company of the Hebrew UniversityResponsive · Innovative Products and Technologies · Israel

Summary of the technology

Cluster3
Based on Gati's screening and recommendation program, intended for later stage career decision (not just what to study). The emphasis is more on the recommendation stage and helping to choose from a few alternatives based on past experiences and various considerations (more so than the initial stages of screening and deep investigation).
Project ID : 25-2018-4557

Application

Employing the right person in the right job is a joint interest of the employer and the job seeker. The employer regrets the hiring decisions and terminates the individual's employment; in many other cases the individual regret his or her decision and quit the job. There are significant financial negative consequences for both the employer and the individual for wrong career and employment decisions. There is a need in technological platform for effective matchmaking.Existing platforms fail to eliminate biases related such as to “re-writing” and “targeting” CV towards a specific position opening using keywords.

Our Innovation

The researchers developed a computer-assisted career guidance system that facilitates the decision-making process for both employers and professionals assessing their career path. The empirically tested and validated matching model and algorithm significantly increases the quality of match, while minimizing the effects of biases. The system could be separately implemented for talent acquisition departments and for individual professionals.

A validated 3 stage process (prescreening, in-depth exploration, and choice)

An algorithm that was found to increase the quality of match.

  • Minimizes intentional biases of job seekers, and unintentional biases of employers.
  • Efficient and effective for both job seekers and employers.
  • Maximizes benefit / cost ratio.

Technology

Separate matching algorithms for prescreening, in-depth exploration and final rank

Controlled exposure for both job seekers and employers

Use of both structured and unstructured data.

Prescreening, to identify promising options,

In-depth exploration, to test and verify compatibility, and

Choice – choosing or rank ordering the alternatives by suitability. These stages are relevant for both job seekers and for employers.

http://kivunim.huji.ac.il/cddq/index.htm

  • A validated 3 stage process (prescreening, in-depth exploration, and choice)
  • An algorithm that was found to increase the quality of match.
  • Minimizes intentional biases of job seekers, and unintentional biases of employers.
  • Efficient and effective for both job seekers and employers.
  • Maximizes benefit / cost ratio.

Project manager

Anna Pellivert
Manager BD

Project researchers

Itamar Gati
HUJI, Faculty of Social Sciences
Psychology

Related keywords

  • Information Processing, Information System, Workflow Management
  • IT and Telematics Applications
  • Multimedia
  • Socio-economic development models, economic aspects
  • Computers
  • Computer Graphics Related
  • Specialised Turnkey Systems
  • Scanning Related
  • Peripherals
  • Computer Services
  • Computer Software Market
  • Other Computer Related
  • Other (uncategorised)
  • Computer Science & Engineering
  • Education Software

About Yissum - Research Development Company of the Hebrew University

Technology Transfer Office from Israel

Yissum Research Development Company of the Hebrew University of Jerusalem Ltd. Founded in 1964 to protect and commercialize the Hebrew University’s intellectual property. Ranked among the top technology transfer companies, Yissum has registered over 8,900 patents covering 2,500 inventions; has licensed out 800 technologies and has spun-off 90 companies. Products that are based on Hebrew University technologies and were commercialized by Yissum generate today over $2 Billion in annual sales.

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