11 citations · 12 across the 3 of their papers we have counts for
4 papers · 1 filter
Learning Neural Ranking Models Online from Implicit User Feedback
Yiling Jia, Hongning Wang
Existing online learning to rank (OL2R) solutions are limited to linear models, which are incompetent to capture possible non-linear relations between queries and documents. In thi…
Calibrating Explore-Exploit Trade-off for Fair Online Learning to Rank
Yiling Jia, Hongning Wang
Online learning to rank (OL2R) has attracted great research interests in recent years, thanks to its advantages in avoiding expensive relevance labeling as required in offline supe…
The FacT: Taming Latent Factor Models for Explainability with Factorization Trees
Yiyi Tao, Yiling Jia, Nan Wang +1
Latent factor models have achieved great success in personalized recommendations, but they are also notoriously difficult to explain. In this work, we integrate regression trees to…
Explainable Recommendation via Multi-Task Learning in Opinionated Text Data
Nan Wang, Hongning Wang, Yiling Jia +1
Explaining automatically generated recommendations allows users to make more informed and accurate decisions about which results to utilize, and therefore improves their satisfacti…