Grant: Engage Grants Program
University of Lethbridge
$25,000.00
MyBestHelper: helping families find caregivers
EF 2013-14
Résumé
The main goal of the company, MyBestHelper, is to render the best match of suitable caregivers with thefamilies that need them. Currently, MyBestHelper is using a basic filtering system to accomplish the task ofmatching. The present system solely relies on simple Boolean logic to find one to one match of severalimportant factors between the users for key elements of user requirements such as role, location, rates of pay,duration of work etc. The main motivation for the proposed project is to improve the search process such thatthe time required to find a suitable match is considerably reduced. We propose the use of a well-knownsupervised machine learning technique, Support Vector Machines (SVM) to improve the performance of theexisting algorithm.
Programme
Engage Grants Program
Bénéficiaire
Emplacement
Alberta, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
451964-2013
Name nom
Chali, Yllias
Department département
Mathematics and Computer Science
Organization id
12
Institution établissement
University of Lethbridge
Province en
Alberta
Province fr
Alberta
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2013
Competition year année de concours
2013
Award amount
25000
Program id
EGP
Program name en
Engage Grants Program
Program name fr
Programme de subventions d'engagement partenariat
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
1555
Committee name en
Prairie Internal Decision Committee
Committee name fr
Comité de décision interne pour les Prairies
Area of application code
802
Area of application group en
Information and communication services
Area of application group fr
Services d'information et de télécommunications
Area of application en
Information systems and technology
Area of application fr
Systèmes d'information et technologie de l'information
Research subject code
2801
Research subject group en
Artificial intelligence
Research subject group fr
Intelligence artificielle
Research subject en
Natural language and speech understanding
Research subject fr
Langage naturel et reconnaissance de la parole
Partie
1
Nb partie
1
Application title
MyBestHelper: helping families find caregivers
Keyword
NSERC
Application summary
The main goal of the company, MyBestHelper, is to render the best match of suitable caregivers with thefamilies that need them. Currently, MyBestHelper is using a basic filtering system to accomplish the task ofmatching. The present system solely relies on simple Boolean logic to find one to one match of severalimportant factors between the users for key elements of user requirements such as role, location, rates of pay,duration of work etc. The main motivation for the proposed project is to improve the search process such thatthe time required to find a suitable match is considerably reduced. We propose the use of a well-knownsupervised machine learning technique, Support Vector Machines (SVM) to improve the performance of theexisting algorithm.
