Jan 26, 2020 · We present a simulation study to estimate the error that such missing data causes in commonly-used evaluation metrics in order to assess its ...

Mar 14, 2020 · We present a simulation study to estimate the error that such missing data causes in commonly-used evaluation metrics in order to assess its ...

Offline evaluation protocols for recommender systems are intended to estimate users' satisfaction with recommendations using static data from prior user ...

It is found that missing data in the rating or observation process causes the evaluation protocol to systematically mis-estimate metric values, and in some ...

We present a simulation study to estimate the error that such missing data causes in commonly-used evaluation metrics in order to assess its prevalence and ...

This results in significant error and bias in measures of top-N recommendation performance, such as precision, recall, and nDCG. Several of the specific causes ...

Mar 14, 2020 · Offline evaluation protocols for recommender systems are intended to estimate users' satisfaction with recommendations using static data ...

Estimating Error and Bias in Offline Evaluation Results. Mucun Tian, Michael D. Ekstrand. Anthology ID: DBLP:conf/chiir/TianE20; Volume: CHIIR '20: Conference ...

We can use such simulated data to study the distortions in recommender system behavior (and metrics of that behavior or performance) between what would be ...

We present a simulation study to estimate the error that such missing data causes in commonly-used evaluation metrics in order to assess its prevalence and ...