77 citations · 110 across the 11 of their papers we have counts for
Showing 2024Show all
2 papers · 1 filter
cs.LG2024
Evaluating the performance-deviation of itemKNN in RecBole and LensKit
Michael Schmidt, Jannik Nitschke, Tim Prinz
This study examines the performance of item-based k-Nearest Neighbors (ItemKNN) algorithms in the RecBole and LensKit recommender system libraries. Using four data sets (Anime, Mod…
cs.LG2024★ 3 cited
Structured Evaluation of Synthetic Tabular Data
Scott Cheng-Hsin Yang, Baxter Eaves, Michael Schmidt +2
Tabular data is common yet typically incomplete, small in volume, and access-restricted due to privacy concerns. Synthetic data generation offers potential solutions. Many metrics…