Running Race Times Prediction and Runner Performances Comparison using a Matrix Factorization Approach

Dimitri de Smet, Michel Verleysen, Marc Francaux

2017

Abstract

This work provides tools based on matrix factorization that can be used to predict athlete running race times based on known race results. This is of interest for athlete preparation, for workout route planning and for race events organization. This work differentiates from previous ones by jointly considering athletes and routes. This work shows how race records can be used to infer knowledge on the users and the races. The same tools can also serve to compare different athlete performances and track athlete level over time. Experiments were conducted on race records of 648 athletes from casual to elite levels. Experiments show that the methodology can be applied to real data and gives relevant insights.

Paper Citation

in Harvard Style

de Smet D., Verleysen M. and Francaux M. (2017). Running Race Times Prediction and Runner Performances Comparison using a Matrix Factorization Approach.In Proceedings of the 5th International Congress on Sport Sciences Research and Technology Support - Volume 1: icSPORTS, ISBN 978-989-758-269-1, pages 96-101. DOI: 10.5220/0006499300960101

in Bibtex Style

@conference{icsports17,
author={Dimitri de Smet and Michel Verleysen and Marc Francaux},
title={Running Race Times Prediction and Runner Performances Comparison using a Matrix Factorization Approach},
booktitle={Proceedings of the 5th International Congress on Sport Sciences Research and Technology Support - Volume 1: icSPORTS,},
year={2017},
pages={96-101},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006499300960101},
isbn={978-989-758-269-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 5th International Congress on Sport Sciences Research and Technology Support - Volume 1: icSPORTS,
TI - Running Race Times Prediction and Runner Performances Comparison using a Matrix Factorization Approach
SN - 978-989-758-269-1
AU - de Smet D.
AU - Verleysen M.
AU - Francaux M.
PY - 2017
SP - 96
EP - 101
DO - 10.5220/0006499300960101