A Study On Ranking Fusion Approaches For The Retrieval Of Medical Publications

In this work we wanted to compare and analyze a variety of approaches in the task of Medical Publications Retrieval. We used state-of-the-art models and weighting schemes with different types of preprocessing as well as applying query expansion and relevance feedback in order to see how much the results improve. We also tested three different Fusion approaches to see if the merged runs perform better than the single models.