9 citations · 16 across the 2 of their papers we have counts for
2 papers
cs.IR2023★ 7 cited
Unbiased Pairwise Learning from Implicit Feedback for Recommender Systems without Biased Variance Control
Yi Ren, Hongyan Tang, Jiangpeng Rong +1
Generally speaking, the model training for recommender systems can be based on two types of data, namely explicit feedback and implicit feedback. Moreover, because of its general a…
cs.IR2023★ 9 cited
Unbiased Learning to Rank with Biased Continuous Feedback
Yi Ren, Hongyan Tang, Siwen Zhu
It is a well-known challenge to learn an unbiased ranker with biased feedback. Unbiased learning-to-rank(LTR) algorithms, which are verified to model the relative relevance accurat…