Running with Recommendation
نویسندگان
چکیده
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 we explore the contrasts between casual and elite runners and hypothesise how a recommender system may be used to mitigate some of these differences. We also briefly discuss some of the challenges faced by such a recommendation task and suggest how these challenges could be addressed.
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