Recommendations for marathon runners: on the application of recommender systems and machine learning to support recreational marathon runners
Every year millions of people, from all walks of life, spend months training to run a traditional
marathon. For some it is about becoming fit enough to complete the gruelling 26.2 mile (42.2 …
marathon. For some it is about becoming fit enough to complete the gruelling 26.2 mile (42.2 …
Recommender systems: A healthy obsession
B Smyth - Proceedings of the AAAI Conference on Artificial …, 2019 - ojs.aaai.org
We propose endurance sports as a rich and novel domain for recommender systems and
machine learning research. As sports like marathon running, triathlons, and mountain biking …
machine learning research. As sports like marathon running, triathlons, and mountain biking …
Fit to run: Personalised recommendations for marathon training
Training for the marathon is a complex problem. In order to run an optimal time, runners
must find the right workload for their current abilities and identify the correct balance …
must find the right workload for their current abilities and identify the correct balance …
Providing explainable race-time predictions and training plan recommendations to marathon runners
Millions of people participate in marathon events every year, typically devoting at least 12-16
weeks to building their endurance and fitness so that they can safely complete these …
weeks to building their endurance and fitness so that they can safely complete these …
A novel recommender system for helping marathoners to achieve a new personal-best
B Smyth, P Cunningham - Proceedings of the eleventh ACM conference …, 2017 - dl.acm.org
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 …
a new personal-best race-time--by predicting a challenging, but achievable target-time, and …
Mining marathon training data to generate useful user profiles
In this work we generate user profiles from the raw activity data of over 12000 marathon
runners. We demonstrate that these user profiles capture accurate representations of the …
runners. We demonstrate that these user profiles capture accurate representations of the …
Modelling the training practices of recreational marathon runners to make personalised training recommendations
These days we have all become increasingly aware of the role that exercise plays in a
healthy lifestyle. Activities such as cycling, triathlons, and running have become popular …
healthy lifestyle. Activities such as cycling, triathlons, and running have become popular …
[PDF][PDF] Running with Recommendation.
We examine the feasibility of a collaborative recommender system in the exercise domain
targeted specifically at runners. By using a large dataset of over 600000 runners' finish times …
targeted specifically at runners. By using a large dataset of over 600000 runners' finish times …
Pace my race: recommendations for marathon running
We propose marathon running as a novel domain for recommender systems and machine
learning. Using high-resolution marathon performance data from multiple marathon races …
learning. Using high-resolution marathon performance data from multiple marathon races …
[PDF][PDF] Keeping People Active and Healthy at Home Using a Reinforcement Learning-based Fitness Recommendation Framework.
Recent years have seen a rise in smartphone applications promoting health and well being.
We argue that there is a large and unexplored ground within the field of recommender …
We argue that there is a large and unexplored ground within the field of recommender …