arXiv Machine Learning August 11, 2026 By Md Aminul Islam, Kathryn Vasilaky, Elena Zheleva

A Control Function Framework for Mitigating Position Bias in Learning to Rank Systems

Read the original on arXiv Machine Learning →

arXiv:2506. 06989v3 Announce Type: replace-cross Abstract: Learning-to-rank (LTR) systems commonly depend on implicit feedback, such as user clicks, because it is easy to collect and can serve as a valuable signal of user preferences.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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