5 citations · 8 across the 3 of their papers we have counts for
3 papers
cs.IR2023★ 5 cited
Candidate Set Sampling for Evaluating Top-N Recommendation
Ngozi Ihemelandu, Michael D. Ekstrand
The strategy for selecting candidate sets -- the set of items that the recommendation system is expected to rank for each user -- is an important decision in carrying out an offlin…
cs.IR2023★ 3 cited
Inference at Scale Significance Testing for Large Search and Recommendation Experiments
Ngozi Ihemelandu, Michael D. Ekstrand
A number of information retrieval studies have been done to assess which statistical techniques are appropriate for comparing systems. However, these studies are focused on TREC-st…
cs.IR2021
Statistical Inference: The Missing Piece of RecSys Experiment Reliability Discourse
Ngozi Ihemelandu, Michael D. Ekstrand
This paper calls attention to the missing component of the recommender system evaluation process: Statistical Inference. There is active research in several components of the recom…