Talent AI Engine- BC-477

Genre de projet: Recherche
Discipline(s) souhaitée: Génie - informatique / électrique, Génie, Éducation, Sciences sociales et humaines, Arts interactifs et technologie
Entreprise: Anonymous
Durée du projet: 4 to 6 months
Preferred start date: As soon as possible.
Langue exigée: English
Emplacement(s): Vancouver, BC, Canada
Nombre de postes: 1
Niveau de scolarité désiré: CollègeÉtudes de premier cycle/baccalauréatMaîtriseDoctoratRecherche postdoctorale
Rechercher dans les réseaux internationaux de Mitacs - cochez cette case si vous souhaitez recevoir des profils de chercheurs basés à l’extérieur du Canada: 
No

Au sujet de l’entreprise: 

We provide services and technology that accelerate innovation by connecting and empowering tech talent through educational programs, startup projects, and hackathon events.

Veuillez décrire le projet.: 

A content-based personalized recommendation system learns user specific profiles from user actions so that it can deliver course content tailored to each individual user’s interest. Currently, we are using a robust weight system which generated by the content views and user inputs with tags. By getting this recommendation system more stable and accurate, we would like to leverage machine learning to determine user interests and classify users by their actions on our platform such as file uploads, video plays, and discussion keywords.

Expertise ou compétences exigées: 

Python, TensorFlow, NLP