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A Novel Recommender System for Helping Marathoners to Achieve a New Personal-Best

Published:27 August 2017Publication History

ABSTRACT

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 accuracy 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.

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      • Published in

        cover image ACM Conferences
        RecSys '17: Proceedings of the Eleventh ACM Conference on Recommender Systems
        August 2017
        466 pages
        ISBN:9781450346528
        DOI:10.1145/3109859

        Copyright © 2017 ACM

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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 27 August 2017

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        • short-paper

        Acceptance Rates

        RecSys '17 Paper Acceptance Rate26of125submissions,21%Overall Acceptance Rate254of1,295submissions,20%

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        18th ACM Conference on Recommender Systems
        October 14 - 18, 2024
        Bari , Italy

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