Reference number : GC-2017-Q4-00263, amendment number : , agreement type : G, recipient legal name : Bruce, Neil (Ryerson University), recipient country : CA, recipient province : nan, recipient city : Ontario, recipient postal code : nan, program name english : Engage Grants for universities, program name french : Subventions d'engagement partenarial pour les universités, program purpose english : The proposed research activities will help to improve capabilities in matching prospective job applicants to_x000D_
jobs posted by hiring managers seeking suitable candidates. This is a research endeavor grounded in machine_x000D_
learning, data science and neural networks towards extracting maximum value from data, and providing best_x000D_
possible matches, and outcomes in hiring._x000D_
The proposed research will help with decision making based on large and heterogeneous data, also providing_x000D_
new capabilities, and scalability in new directions with potential for exponential growth. Data considered_x000D_
ranges from text based candidate descriptions to more targeted measures that inform on quality of fit in filling_x000D_
jobs._x000D_
Modern advances in AI and deep learning will be applied, alongside careful principles of system design to_x000D_
provide optimal matches, and successful outcomes post-hire., program purpose french : The proposed research activities will help to improve capabilities in matching prospective job applicants to_x000D_
jobs posted by hiring managers seeking suitable candidates. This is a research endeavor grounded in machine_x000D_
learning, data science and neural networks towards extracting maximum value from data, and providing best_x000D_
possible matches, and outcomes in hiring._x000D_
The proposed research will help with decision making based on large and heterogeneous data, also providing_x000D_
new capabilities, and scalability in new directions with potential for exponential growth. Data considered_x000D_
ranges from text based candidate descriptions to more targeted measures that inform on quality of fit in filling_x000D_
jobs._x000D_
Modern advances in AI and deep learning will be applied, alongside careful principles of system design to_x000D_
provide optimal matches, and successful outcomes post-hire., agreement title english : Learning to match applicants to job profiles, agreement title french : Learning to match applicants to job profiles, agreement number : EGP, agreement value : 25000.0, agreement start date : 2018-03-07, agreement end date : nan, description english : nan, description french : nan, expected results english : nan, expected results french : nan, additional information english : Grant or Award spanning more than one fiscal year (2017-2018 to 2018-2019)., additional information french : Subvention ou bourse octroyée s'appliquant à plus d'un exercice financier (2017-2018 à 2018-2019)., owner organization : nserc-crsng, owner organization title : Natural Sciences and Engineering Research Council of Canada | Conseil de recherches en sciences naturelles et en génie du Canada