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Grant: Engage Grants for universities

Cooperstock, Jeremy (McGill University)|Cooperstock, Jeremy (Université McGill)

$25,000.00

Educational wine recommendations from initially sparse data

FY 2017-18 · 2018-03-22

Summary
Wineout aims to democratize knowledge and appreciation of wine through the use of technology. Their initial_x000D_ effort in this area was a game-based app intended for non-expert wine drinkers, but this requires an initial_x000D_ understanding of wine characteristics that is beyond the knowledge of most consumers. To further advance_x000D_ Wineout's mission, the present project was formulated between the company and university to design and_x000D_ prototype development of a recommendation system for wines that begins with limited user data, and over_x000D_ time, becomes tailored to the individual consumer's tastes and profiles of similar users. The objective is not_x000D_ only to offer recommendations that the user is likely to enjoy, but also to help educate users as to specific_x000D_ characteristics of the wines. Much of this project can be viewed as a conventional machine learning challenge,_x000D_ but there is an arguably even more important component that relates to the user experience. Thus, significant_x000D_ effort will be allocated to gaining an understanding of how the target audience for the app currently makes their_x000D_ wine selections, and ensuring that the app supports existing habits.
Program
Engage Grants for universities
Location
Quebec|Québec, Canada
Type
Grant
Source
Proactive Disclosure - Grants and Contributions

As published

Additional Information
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).
Agreement Number
EGP
Agreement Start Date
2018-03-22
Agreement Title
Educational wine recommendations from initially sparse data
Agreement Title (French)
Educational wine recommendations from initially sparse data
Agreement Type
Grant
Agreement Value
$25,000.00
Amendment Number
0
Organization Code
nserc-crsng
Organization
Natural Sciences and Engineering Research Council of Canada | Conseil de recherches en sciences naturelles et en génie du Canada
Program Name
Engage Grants for universities
Program Name (French)
Subventions d'engagement partenarial pour les universités
Program Purpose
Wineout aims to democratize knowledge and appreciation of wine through the use of technology. Their initial_x000D_ effort in this area was a game-based app intended for non-expert wine drinkers, but this requires an initial_x000D_ understanding of wine characteristics that is beyond the knowledge of most consumers. To further advance_x000D_ Wineout's mission, the present project was formulated between the company and university to design and_x000D_ prototype development of a recommendation system for wines that begins with limited user data, and over_x000D_ time, becomes tailored to the individual consumer's tastes and profiles of similar users. The objective is not_x000D_ only to offer recommendations that the user is likely to enjoy, but also to help educate users as to specific_x000D_ characteristics of the wines. Much of this project can be viewed as a conventional machine learning challenge,_x000D_ but there is an arguably even more important component that relates to the user experience. Thus, significant_x000D_ effort will be allocated to gaining an understanding of how the target audience for the app currently makes their_x000D_ wine selections, and ensuring that the app supports existing habits.
Program Purpose (French)
Wineout aims to democratize knowledge and appreciation of wine through the use of technology. Their initial_x000D_ effort in this area was a game-based app intended for non-expert wine drinkers, but this requires an initial_x000D_ understanding of wine characteristics that is beyond the knowledge of most consumers. To further advance_x000D_ Wineout's mission, the present project was formulated between the company and university to design and_x000D_ prototype development of a recommendation system for wines that begins with limited user data, and over_x000D_ time, becomes tailored to the individual consumer's tastes and profiles of similar users. The objective is not_x000D_ only to offer recommendations that the user is likely to enjoy, but also to help educate users as to specific_x000D_ characteristics of the wines. Much of this project can be viewed as a conventional machine learning challenge,_x000D_ but there is an arguably even more important component that relates to the user experience. Thus, significant_x000D_ effort will be allocated to gaining an understanding of how the target audience for the app currently makes their_x000D_ wine selections, and ensuring that the app supports existing habits.
Recipient City
Quebec|Québec
Recipient Country
CA
Recipient Legal Name
Cooperstock, Jeremy (McGill University)|Cooperstock, Jeremy (Université McGill)
Reference Number
GC-2017-Q4-00387