Automatch

Often, a single employment notice may receive hundreds of applications. Manual inspection of applications is extremely time-consuming, and may be approximated by a computer program. Such a program would automatically extract a number of features from each application. For example, relevant work experience, skills, and qualifications might represent appropriate features. After extracting these features, the system would be able to score and rank applications in an effort to reduce the number of applications that would then need to be reviewed. The quality of the various features is estimated using various machine learning techniques that are trained on previously assessed applications.

Faculty Supervisor:

Greg Kondrak

Student:

Garrett Nicolai

Partner:

Hour Group Inc

Discipline:

Computer science

Sector:

Information and communications technologies

University:

University of Alberta