We’re looking for two PhD students and a postdoc to work on a project on learning to rank for information retrieval. The goal of the project is to lay the foundations for contextual LTR methods, which automatically construct the right ranking features based on the query context. The project will use data collected through natural interactions with a live system to extract features that might not be obvious to researchers who manually design the ones currently used for LTR.
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