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Found 2 papers, 1 papers with code
Inverse Propensity Score based offline estimator for deterministic ranking lists using position bias
In this work, we present a novel way of computing IPS using a position-bias model for deterministic logging policies.
Representation Learning and Pairwise Ranking for Implicit Feedback in Recommendation Systems
The learning objective is based on three scenarios of ranking losses that control the ability of the model to maintain the ordering over the items induced from the users' preferences, as well as, the capacity of the dot-product defined in the learned embedded space to produce the ordering.
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