Graham McDonald

Traditional search tasks aim to satisfy user information needs by returning a subset of a collection of documents, ranked by the documents' relevance to a user query. However, some collections that contain useful information also contain \emph{sensitive} personal information. Recently, there has...

Pseudo-Relevance Feedback (PRF) aims to improve performance, but it can suffer from query drift, creating asymmetric impacts across queries. Current Selective PRF (sPRF) strategies attempt to mitigate this by predicting when PRF will help, but they rely on offline metrics that may not reflect act...