5 citations · 5 across the 2 of their papers we have counts for
3 papers
cs.IR2023
Ranking with Long-Term Constraints
Kianté Brantley, Zhichong Fang, Sarah Dean +1
The feedback that users provide through their choices (e.g., clicks, purchases) is one of the most common types of data readily available for training search and recommendation alg…
cs.SI2018★ 5 cited
COSINE: Compressive Network Embedding on Large-scale Information Networks
Zhengyan Zhang, Cheng Yang, Zhiyuan Liu +4
There is recently a surge in approaches that learn low-dimensional embeddings of nodes in networks. As there are many large-scale real-world networks, it's inefficient for existing…
cs.IR2018
Intervention Harvesting for Context-Dependent Examination-Bias Estimation
Zhichong Fang, Aman Agarwal, Thorsten Joachims
Accurate estimates of examination bias are crucial for unbiased learning-to-rank from implicit feedback in search engines and recommender systems, since they enable the use of Inve…