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In the scenario of health-related searches, we investigate whether explicit relevance feedback by experts can guide query expansion methods to formulate queries that return fewer misleading or wrong results. In contrast to standard query expansion methods that pay no attention to the ranks of the feedback documents in the results of the expanded query, we experiment with a keyquery-based approach to identify expanded queries for which the feedback documents are ranked as high as possible.dblp:conf/ecir/FrobeGBHH22 fatcat:gxt4zabryze5vlytzxgcaqaofi