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A Novel Recommender System for helping Marathoners to Achieve a new Personal-Best


Barry Smyth, Padraig Cunningham

Publication Type: 
Refereed Conference Meeting Proceeding
We describe a novel application for recommender systems { helping marathon runners to run a new personal-best race- time { by predicting a challenging, but achievable target- time, and by recommending a tailored race-plan to achieve this time. A comprehensive evaluation of prediction accu- racy and race-plan quality is provided using a large-scale dataset with almost 400,000 runners from the last 12 years of the Chicago marathon.
Conference Name: 
RecSys '17: Proceedings of the Eleventh ACM Conference on Recommender Systems
Digital Object Identifer (DOI): 
Publication Date: 
Research Group: 
National University of Ireland, Dublin (UCD)
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