Reference number : GC-2017-Q2-04310, amendment number : , agreement type : G, recipient legal name : Fyshe, Alona (University of Victoria), recipient country : CA, recipient province : nan, recipient city : British Columbia|Colombie-Britannique, recipient postal code : nan, program name english : Engage Plus Grants for Universities, program name french : Subvention d'engagement partenarial Plus pour les universités, program purpose english : Every day millions of news stories are read online with an increasing tendency for readers to stay on the_x000D_
content provider's page for only one story. This has a significant impact on the revenue of online media outlets._x000D_
Digital Cavalier Technology Services Inc. (the company) provides personalization enterprise solutions that_x000D_
generate content recommendations encouraging users to read additional stories. In collaboration with the_x000D_
University of Victoria a semantic recommender system has been developed. The company would like to_x000D_
enhance this system by more accurately handling word ambiguity, including a topic model to more efficiently_x000D_
search high dimensional spaces, and by introducing a learning-to-rank algorithm. From these enhancements the_x000D_
company will generate patentable IP and create additional funding/revenue generation opportunities._x000D_
The company's R&D team will build upon the deliverables of this research project using the expert knowledge_x000D_
gained through this engagement to develop spin-off technologies such as automatic keyword tagging, as well as_x000D_
demand-driven publishing., program purpose french : Every day millions of news stories are read online with an increasing tendency for readers to stay on the_x000D_
content provider's page for only one story. This has a significant impact on the revenue of online media outlets._x000D_
Digital Cavalier Technology Services Inc. (the company) provides personalization enterprise solutions that_x000D_
generate content recommendations encouraging users to read additional stories. In collaboration with the_x000D_
University of Victoria a semantic recommender system has been developed. The company would like to_x000D_
enhance this system by more accurately handling word ambiguity, including a topic model to more efficiently_x000D_
search high dimensional spaces, and by introducing a learning-to-rank algorithm. From these enhancements the_x000D_
company will generate patentable IP and create additional funding/revenue generation opportunities._x000D_
The company's R&D team will build upon the deliverables of this research project using the expert knowledge_x000D_
gained through this engagement to develop spin-off technologies such as automatic keyword tagging, as well as_x000D_
demand-driven publishing., agreement title english : Content-aware Recommender Systems using Semantic Analysis, agreement title french : Content-aware Recommender Systems using Semantic Analysis, agreement number : EGP2, agreement value : 12496.0, agreement start date : 2017-09-20, 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