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Found 3 papers, 1 papers with code
Unbiased Pairwise Learning from Implicit Feedback for Recommender Systems without Biased Variance Control
As pairwise learning suits well for the ranking tasks, the previously proposed unbiased pairwise learning algorithm already achieves state-of-the-art performance.
Unbiased Learning to Rank with Biased Continuous Feedback
It is a well-known challenge to learn an unbiased ranker with biased feedback.
Unbiased Pairwise Learning to Rank in Recommender Systems
To provide personalized high quality recommendation results, conventional systems usually train pointwise rankers to predict the absolute value of objectives and leverage a distinct shallow tower to estimate and alleviate the impact of position bias.
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