Grant: Engage Grants Program
McGill University
$25,000.00
Educational wine recommendations from initially sparse data
EF 2017-18
Résumé
Wineout aims to democratize knowledge and appreciation of wine through the use of technology. Their initialeffort in this area was a game-based app intended for non-expert wine drinkers, but this requires an initialunderstanding of wine characteristics that is beyond the knowledge of most consumers. To further advanceWineout's mission, the present project was formulated between the company and university to design andprototype development of a recommendation system for wines that begins with limited user data, and overtime, becomes tailored to the individual consumer's tastes and profiles of similar users. The objective is notonly to offer recommendations that the user is likely to enjoy, but also to help educate users as to specificcharacteristics of the wines. Much of this project can be viewed as a conventional machine learning challenge,but there is an arguably even more important component that relates to the user experience. Thus, significanteffort will be allocated to gaining an understanding of how the target audience for the app currently makes theirwine selections, and ensuring that the app supports existing habits.
Programme
Engage Grants Program
Bénéficiaire
Emplacement
Quebec, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
522760-2017
Name nom
Cooperstock, Jeremy
Department département
Electrical and Computer Engineering
Organization id
61
Institution établissement
McGill University
Province en
Québec
Province fr
Québec
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2017
Competition year année de concours
2017
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
1552
Committee name en
Quebec Internal Decision Committee
Committee name fr
Comité de décision interne pour le Québec
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
2710
Research subject group en
Information technology
Research subject group fr
Technologie de l'information
Research subject en
Information systems design
Research subject fr
Conception de systèmes d'information
Partie
1
Nb partie
1
Application title
Educational wine recommendations from initially sparse data
Keyword
NSERC
Application summary
Wineout aims to democratize knowledge and appreciation of wine through the use of technology. Their initialeffort in this area was a game-based app intended for non-expert wine drinkers, but this requires an initialunderstanding of wine characteristics that is beyond the knowledge of most consumers. To further advanceWineout's mission, the present project was formulated between the company and university to design andprototype development of a recommendation system for wines that begins with limited user data, and overtime, becomes tailored to the individual consumer's tastes and profiles of similar users. The objective is notonly to offer recommendations that the user is likely to enjoy, but also to help educate users as to specificcharacteristics of the wines. Much of this project can be viewed as a conventional machine learning challenge,but there is an arguably even more important component that relates to the user experience. Thus, significanteffort will be allocated to gaining an understanding of how the target audience for the app currently makes theirwine selections, and ensuring that the app supports existing habits.
