Background: Accuracy of document retrieval from MEDLINE for gene queries is crucially important for many applications in bioinformatics. We explore five information retrieval-base...
We consider the problem of learning to rank relevant and novel documents so as to directly maximize a performance metric called Expected Global Utility (EGU), which has several de...
Some recent works have shown that the “perfect” selection of the best IR system per query could lead to a significant improvement on the retrieval performance. Motivated by thi...
This paper introduces the notion of temporally constrained ranked retrieval, which, given a query and a time constraint, produces the best possible ranked list within the specifi...
In this work we propose a method that retrieves a list of related queries given an initial input query. The related queries are based on the query log of previously issued queries...