most citedA First Look at Selection Bias in Preference Elicitation for Recommendation

1 citations · 1 across the 2 of their papers we have counts for

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2 papers

cs.LG2024

Proximal Ranking Policy Optimization for Practical Safety in Counterfactual Learning to Rank

Shashank Gupta, Harrie Oosterhuis, Maarten de Rijke

Counterfactual learning to rank (CLTR) can be risky and, in various circumstances, can produce sub-optimal models that hurt performance when deployed. Safe CLTR was introduced to m…

cs.IR2024★ 1 cited

A First Look at Selection Bias in Preference Elicitation for Recommendation

Shashank Gupta, Harrie Oosterhuis, Maarten de Rijke

Preference elicitation explicitly asks users what kind of recommendations they would like to receive. It is a popular technique for conversational recommender systems to deal with…