Personal Assistant Systems
Mitigating the Popularity Bias of Graph Collaborative Filtering: A Dimensional Collapse Perspective
Graph Collaborative Filtering (GCF) is widely used in personalized recommendation systems. However, GCF suffers from a fundamental problem where features tend to occupy the embedding space inefficiently (by spanning only a low-dimensional subspace).
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.