2022
DOI: 10.48550/arxiv.2204.00718
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Implicit Feedback for Dense Passage Retrieval: A Counterfactual Approach

Shengyao Zhuang,
Hang Li,
Guido Zuccon

Abstract: In this paper we study how to effectively exploit implicit feedback in Dense Retrievers (DRs). We consider the specific case in which click data from a historic click log is available as implicit feedback.We then exploit such historic implicit interactions to improve the effectiveness of a DR. A key challenge that we study is the effect that biases in the click signal, such as position bias, have on the DRs. To overcome the problems associated with the presence of such bias, we propose the Counterfactual Rocch… Show more

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