36 citations · 70 across the 11 of their papers we have counts for
4 papers · 1 filter
Marginal-Certainty-aware Fair Ranking Algorithm
Tao Yang, Zhichao Xu, Zhenduo Wang +2
Ranking systems are ubiquitous in modern Internet services, including online marketplaces, social media, and search engines. Traditionally, ranking systems only focus on how to get…
Reinforcement Learning to Rank Using Coarse-grained Rewards
Yiteng Tu, Zhichao Xu, Tao Yang +6
Learning to rank (LTR) plays a crucial role in various Information Retrieval (IR) tasks. Although supervised LTR methods based on fine-grained relevance labels (e.g., document-leve…
Learning to Rank Rationales for Explainable Recommendation
Zhichao Xu, Yi Han, Tao Yang +2
State-of-the-art recommender system (RS) mostly rely on complex deep neural network (DNN) model structure, which makes it difficult to provide explanations along with RS decisions.…
Vertical Allocation-based Fair Exposure Amortizing in Ranking
Tao Yang, Zhichao Xu, Qingyao Ai
Result ranking often affects consumer satisfaction as well as the amount of exposure each item receives in the ranking services. Myopically maximizing customer satisfaction by rank…