Personal Assistant Systems
Unveiling User Satisfaction and Creator Productivity Trade-Offs in Recommendation Platforms
On User-Generated Content (UGC) platforms, recommendation algorithms significantly impact creators' motivation to produce content as they compete for
Counterfactual Evaluation of Peer-Review Assignment Policies
As a result, these and other large conferences must rely on automated systems to decide what members of the impaneled reviewer pool will review each paper.
Removing Hidden Confounding in Recommendation: A Unified Multi-Task Learning Approach
In recommender systems, the collected data used for training is always subject to selection bias, which poses a great challenge for unbiased learning.
Ecosystem-level Analysis of Deployed Machine Learning Reveals Homogeneous Outcomes
Machine learning (ML) is pervasively deployed.
Evidential Stochastic Differential Equations for Time-Aware Sequential Recommendation
Sequential recommender systems are designed to capture users' evolving interests
