1.5k citations · 1.5k across the 4 of their papers we have counts for
5 papers
Mean Absolute Percentage Error for regression models
Arnaud De Myttenaere, Boris Golden, Bénédicte Le Grand +1
We study in this paper the consequences of using the Mean Absolute Percentage Error (MAPE) as a measure of quality for regression models. We prove the existence of an optimal MAPE…
Study of a bias in the offline evaluation of a recommendation algorithm
Arnaud De Myttenaere, Boris Golden, Bénédicte Le Grand +1
Recommendation systems have been integrated into the majority of large online systems to filter and rank information according to user profiles. It thus influences the way users in…
Empirical risk minimization is consistent with the mean absolute percentage error
Arnaud De Myttenaere, Bénédicte Le Grand, Fabrice Rossi
We study in this paper the consequences of using the Mean Absolute Percentage Error (MAPE) as a measure of quality for regression models. We show that finding the best model under…
Reducing Offline Evaluation Bias in Recommendation Systems
Arnaud De Myttenaere, Bénédicte Le Grand, Boris Golden +1
Recommendation systems have been integrated into the majority of large online systems. They tailor those systems to individual users by filtering and ranking information according…
A data-driven analysis to question epidemic models for citation cascades on the blogosphere
Abdelhamid Salah Brahim, Lionel Tabourier, Bénédicte Le Grand
Citation cascades in blog networks are often considered as traces of information spreading on this social medium. In this work, we question this point of view using both a structur…