211 citations · 527 across the 28 of their papers we have counts for
5 papers · 1 filter
Learning from Crowds by Modeling Common Confusions
Zhendong Chu, Jing Ma, Hongning Wang
Crowdsourcing provides a practical way to obtain large amounts of labeled data at a low cost. However, the annotation quality of annotators varies considerably, which imposes new c…
Unifying Clustered and Non-stationary Bandits
Chuanhao Li, Qingyun Wu, Hongning Wang
Non-stationary bandits and online clustering of bandits lift the restrictive assumptions in contextual bandits and provide solutions to many important real-world scenarios. Though…
Directional Multivariate Ranking
Nan Wang, Hongning Wang
User-provided multi-aspect evaluations manifest users' detailed feedback on the recommended items and enable fine-grained understanding of their preferences. Extensive studies have…
Non-Clicks Mean Irrelevant? Propensity Ratio Scoring As a Correction
Nan Wang, Zhen Qin, Xuanhui Wang +1
Recent advances in unbiased learning to rank (LTR) count on Inverse Propensity Scoring (IPS) to eliminate bias in implicit feedback. Though theoretically sound in correcting the bi…
Déjà vu: A Contextualized Temporal Attention Mechanism for Sequential Recommendation
Jibang Wu, Renqin Cai, Hongning Wang
Predicting users' preferences based on their sequential behaviors in history is challenging and crucial for modern recommender systems. Most existing sequential recommendation algo…