Collaborative Recommendation Systems in Online Social Networks

 

The intern, along with his collaborator will explore both theoretically and empirically models of influence over social networks, recommendation systems of online content for users in social networks. Additionally, the intern will study various different ways to cluster and group the content of networks such as Twitter in an automated fashion. Additionally, the intern plans to study various different algorithmic problem the pertain to information retrieval and online content.

Faculty Supervisor:

Dr. Allan Borodin

Student:

Joel Oren

Partner:

Thoora Inc.

Discipline:

Computer science

Sector:

Information and communications technologies

University:

University of Toronto

Program:

Accelerate

Related projects

Discover more projects across a range of sectors and discipline — from AI to cleantech to social innovation.

View all
Current openings

Find the perfect opportunity to put your academic skills and knowledge into practice!

Find Projects

Mitacs Partners

The strong support from governments across Canada, international partners, universities, colleges, companies, and community organizations has enabled Mitacs to focus on the core idea that talent and partnerships power innovation — and innovation creates a better future.

Government
Academic
Industry
Innovation

International

Load More

International

Load More

Join a thriving innovation ecosystem.

Subscribe to our newsletter now!

Subscribe
Canada