2 papers
cs.IR2026
Fortress: A Case Study in Stabilizing Search Recommendations via Temporal Data Augmentation and Feature Pruning
Milind Pandurang Jagre, Jia Huang, Dayvid V. R. Oliveira +6
In search and recommendation systems, predictive models often suffer from temporal instability when certain input features introduce volatility in output scores. This instability c…
cs.CR2023
Randomized algorithms for precise measurement of differentially-private, personalized recommendations
Allegra Laro, Yanqing Chen, Hao He +1
Personalized recommendations form an important part of today's internet ecosystem, helping artists and creators to reach interested users, and helping users to discover new and eng…