18 citations · 65 across the 11 of their papers we have counts for
10 papers · 1 filter
Unified Browsing Models for Linear and Grid Layouts
Amifa Raj, Michael Ekstrand
Many information access systems operationalize their results in terms of rankings, which are then displayed to users in various ranking layouts such as linear lists or grids. User…
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…
Towards Measuring Fairness in Grid Layout in Recommender Systems
Amifa Raj, Michael D. Ekstrand
There has been significant research in the last five years on ensuring the providers of items in a recommender system are treated fairly, particularly in terms of the exposure the…
Distributionally-Informed Recommender System Evaluation
Michael D. Ekstrand, Ben Carterette, Fernando Diaz
Current practice for evaluating recommender systems typically focuses on point estimates of user-oriented effectiveness metrics or business metrics, sometimes combined with additio…
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…
Patterns of gender-specializing query reformulation
Amifa Raj, Bhaskar Mitra, Nick Craswell +1
Users of search systems often reformulate their queries by adding query terms to reflect their evolving information need or to more precisely express their information need when th…