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Found 2 papers, 1 papers with code
Causal Estimation of Position Bias in Recommender Systems Using Marketplace Instruments
By leveraging prior experimentation, we obtain quasi-experimental variation in item rankings that is orthogonal to user relevance.
Local Linear Forests
Random forests are a powerful method for non-parametric regression, but are limited in their ability to fit smooth signals, and can show poor predictive performance in the presence of strong, smooth effects.
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