Using Machine Learning to Build a Better Fitness App to Help Runners to Run a Faster Marathon

Files in This Item:
Access to this item has been restricted by the copyright holder until:2019-07-10
File Description SizeFormat 
insight_publication.pdf2.72 MBAdobe PDFDownload    Request a copy
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 SystemsMachine learningMarathon runnersPacing planPerformance prediction
Language: en
Status of Item: Peer reviewed
Appears in Collections:Insight Research Collection

Show full item record

Google ScholarTM

Check


This item is available under the Attribution-NonCommercial-NoDerivs 3.0 Ireland. No item may be reproduced for commercial purposes. For other possible restrictions on use please refer to the publisher's URL where this is made available, or to notes contained in the item itself. Other terms may apply.