Reference number : GC-2017-Q3-00596, amendment number : , agreement type : G, recipient legal name : Gagnon, Ghyslain (École de technologie supérieure), recipient country : CA, recipient province : nan, recipient city : Quebec|Québec, 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 project is the design and development of an intelligent data platform to recommend relevant contextual_x000D_
informational graphics to overlay on the video feed of broadcasted sport events. The goal is to automate the_x000D_
data processing and graphic generation task and design a recommender system that is trained on the previous_x000D_
generated sequences. The recommender will thus provide relative sequences according to what is considered_x000D_
interesting valuable information while viewing sports games. The adjustments of the system and the final_x000D_
editorial decision is left to the operator. The objectives of the project are: (1) to collect, wrangle, analyze, and_x000D_
specify required data sources needed for such a platform; (2) prototype, verify, and then develop an intelligent_x000D_
recommender system to automate the data processing and graph classification modules; and (3) empower the_x000D_
system to adapt with new sources of data and integrate data changes according to the main goals the platform is_x000D_
planned to achieve. The deliverable of the project is a prototype of the smart recommender system. This project_x000D_
is done in partnership with AstuceMedia, a Montreal-based company specialized in real-time interactive_x000D_
broadcast graphics design and data integration., program purpose french : The project is the design and development of an intelligent data platform to recommend relevant contextual_x000D_
informational graphics to overlay on the video feed of broadcasted sport events. The goal is to automate the_x000D_
data processing and graphic generation task and design a recommender system that is trained on the previous_x000D_
generated sequences. The recommender will thus provide relative sequences according to what is considered_x000D_
interesting valuable information while viewing sports games. The adjustments of the system and the final_x000D_
editorial decision is left to the operator. The objectives of the project are: (1) to collect, wrangle, analyze, and_x000D_
specify required data sources needed for such a platform; (2) prototype, verify, and then develop an intelligent_x000D_
recommender system to automate the data processing and graph classification modules; and (3) empower the_x000D_
system to adapt with new sources of data and integrate data changes according to the main goals the platform is_x000D_
planned to achieve. The deliverable of the project is a prototype of the smart recommender system. This project_x000D_
is done in partnership with AstuceMedia, a Montreal-based company specialized in real-time interactive_x000D_
broadcast graphics design and data integration., agreement title english : Development of an intelligent agent for real-time recommendation of sport analytics in live broadcasted events, agreement title french : Development of an intelligent agent for real-time recommendation of sport analytics in live broadcasted events, agreement number : EGP, agreement value : 25000.0, agreement start date : 2017-12-13, 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