Using Machine Learning to Build a Better Fitness App to Help Runners to Run a Faster Marathon
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|Title:||Using Machine Learning to Build a Better Fitness App to Help Runners to Run a Faster Marathon||Authors:||Smyth, Barry||Permanent link:||http://hdl.handle.net/10197/10068||Date:||10-Jul-2018||Online since:||2019-04-23T09:26:48Z||Abstract:||We explore using machine learning to help marathoners achieve a personal best for an upcoming race, by helping them to select a goal-time and a pacing plan. We evaluate several representational alternatives, and algorithms, using real-world race data, to highlight the performance implications of different types of marathon histories and landmark races, concluding that richer representations do not always deliver better prediction performance.||Funding Details:||Science Foundation Ireland||Type of material:||Journal Article||Keywords:||Recommender Systems; Machine learning; Marathon runners; Pacing plan; Performance prediction||Language:||en||Status of Item:||Peer reviewed|
|Appears in Collections:||Insight Research Collection|
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