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<pre>
             Running with Cases:
      A CBR Approach to Running Your Best
                  Marathon

                                Barry Smyth &
                             Pádraig Cunningham

                        Insight Centre for Data Analytics
                           School of Computer Science
                        University College Dublin, Ireland
                            firstname.surname@ucd.ie


1   Summarized Publication
Paper Title:         Running with Cases: [1]
URL                  http://bit.ly/iccbr running with cases
Conference / Journal 25th International Conference on Case-Based Reasoning
Publication Date     June, 2017

2   Summary
Running a marathon personal-best (PB) needs careful planning. It starts with
a target-time to aim for; a time that is not so easy that you will feel untested,
but also not so hard that you run the risk of ruining your race because you
hit the wall. But a target finish-time alone is not enough to ensure marathon
success. Runners need a race-plan or pacing plan to achieve this time, a segment
by segment plan for how fast or slow they should run, tailored to the course. A
good pacing plan will help a runner to manage their effort throughout the race,
segment by segment, hill by hill This is especially important during the crucial
early stages of the marathon, when many go out too fast, and helps to reduce
the risk of hitting the wall later in the race.
    The main contribution of this work is to introduce a novel case-based, rec-
ommender system for helping marathon runners to identify, and plan for, new
personal-best finish-times. We describe how to construct suitable training cases
from conventional race-records, and how to use these cases to predict a PB time
and recommend a tailored pacing plan. We evaluate the results using data from
the last 12 years of the Chicago marathon.

References
1. B. Smyth and P. Cunningham, “Running with cases: A CBR approach to running
   your best marathon,” in Case-Based Reasoning Research and Development - 25th
   International Conference, ICCBR 2017, Trondheim, Norway, June 26-28, 2017,
   Proceedings, pp. 360–374, 2017.

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