Jakim Berndsen

According to our database, Jakim Berndsen authored at least 7 papers between 2017 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2022

Recommendations for marathon runners: on the application of recommender systems and machine learning to support recreational marathon runners.

Barry Smyth, Aonghus Lawlor, Jakim Berndsen, Ciara Feely

User Model. User Adapt. Interact., 2022

Comment on "Black Box Prediction Methods in Sports Medicine Deserve a Red Card for Reckless Practice: A Change of Tactics is Needed to Advance Athlete Care".

Jakim Berndsen, Derek McHugh

CoRR, 2022

2020

Fit to Run: Personalised Recommendations for Marathon Training.

Jakim Berndsen, Barry Smyth, Aonghus Lawlor

Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

Mining Marathon Training Data to Generate Useful User Profiles.

Jakim Berndsen, Barry Smyth, Aonghus Lawlor

Proceedings of the Machine Learning and Data Mining for Sports Analytics, 2020

A Collaborative Filtering Approach to Successfully Completing The Marathon.

Jakim Berndsen, Barry Smyth, Aonghus Lawlor

Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

2019

Pace my race: recommendations for marathon running.

Jakim Berndsen, Barry Smyth, Aonghus Lawlor

Proceedings of the 13th ACM Conference on Recommender Systems, 2019

2017

Running with Recommendation.

Jakim Berndsen, Aonghus Lawlor, Barry Smyth

Proceedings of the 2nd International Workshop on Health Recommender Systems co-located with the 11th International Conference on Recommender Systems (RecSys 2017), 2017