A Study on Reciprocal Ranking Fusion in Consumer Health Search. MS UniPD at CLEF eHealth 2020 Task 2

In this paper, we describe the results of the participation of the Information Management Systems (IMS) group at CLEF eHealth 2020 Task 2, Consumer Health Search Task. In particular, we participated in both subtasks: Ad-hoc IR and Spoken queries retrieval. The goal of our work was to evaluate the reciprocal ranking fusion approach over 1) different query variants; 2) different retrieval functions; 3) w/out pseudo-relevance feedback. The results show that, on average, the best performances are obtained by a ranking fusion approach together with pseudo-relevance feedback.