3 papers
cs.IR2026
PinEqualizer: Full Funnel Content Exploration and Debiasing System at Pinterest
Olafur Gudmundsson, Bo Zhao, Huayi Liao +15
In this paper, we propose a new solution for addressing the content cold-start problem in industry-scale search and recommender systems. Compared to prior approaches, we have made…
cs.IR2026
MESH: Scaling Up Retrieval with Heterogeneous Content Unification
Jiaxing Qu, Yilin Chen, Junpeng Hou +4
Optimizing large-scale retrieval hinges on the ability to efficiently surface candidates across diverse content tiers. However, to capture segments such as fresh and long-tail cont…
cond-mat.mtrl-sci2023
Leveraging Language Representation for Material Recommendation, Ranking, and Exploration
Jiaxing Qu, Yuxuan Richard Xie, Kamil M. Ciesielski +3
Data-driven approaches for material discovery and design have been accelerated by emerging efforts in machine learning. However, general representations of crystals to explore the…