Computing Community Consortium Blog

The goal of the Computing Community Consortium (CCC) is to catalyze the computing research community to debate longer range, more audacious research challenges; to build consensus around research visions; to evolve the most promising visions toward clearly defined initiatives; and to work with the funding organizations to move challenges and visions toward funding initiatives. The purpose of this blog is to provide a more immediate, online mechanism for dissemination of visioning concepts and community discussion/debate about them.


Great Innovative Idea- Recommender Systems: A Healthy Obsession

April 18th, 2019 / in Announcements, CCC, Great Innovative Idea / by Helen Wright

The following Great Innovative Idea is from Barry Smyth, the Digital Chair of Computer Science at University College Dublin and the Director of the Insight Centre for Data Analytics. Dr. Smyth was one of the Computing Community Consortium (CCC) Blue Sky Track Conference Winners at AAAI-19 for his paper Recommender Systems: A Healthy Obsession.

The Idea

The idea of using AI and machine learning to help people to train more effectively for, and race in, marathons, and other endurance events.

Impact

I believe that it has the potential to change how people exercise, by helping them to train more efficiently and more safely.

Other Research

I work in the area of recommender systems, focusing on a range of fundamental and applied research on this topic. In the past this has been largely concerned with traditional recommender systems domains such as commerce or entertainment but my recent work on sports and exercise represents a novel departure in this regards.

Researcher’s Background

I’m a computer scientist from Ireland, with a background in AI and machine learning research.

Links

About Me

To view more Great Innovative Ideas, please click here.

Great Innovative Idea- Recommender Systems: A Healthy Obsession

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