Stefan Pohl
Department of Computer Science and Software Engineering,
The University of Melbourne,
Victoria 3010, Australia.
Justin Zobel
Department of Computer Science and Software Engineering,
The University of Melbourne,
Alistair Moffat
Department of Computer Science and Software Engineering,
The University of Melbourne,
Victoria 3010, Australia.
Ranking overcomes these problems by allowing the user to choose the number of documents to be inspected. However, previous work did not show significant improvements over the Boolean approach when ranked keyword queries based on terms in the Boolean queries, review title, research question or inclusion criteria were used.
The extended Boolean retrieval model also provides ranked output, but existing complex Boolean queries can be directly used as formal description of the complex information needs occurring in this domain. In this paper we show that extended Boolean retrieval is able to find a larger quantity of relevant documents than previous approaches when comparable (or greater) numbers of documents are inspected for relevance.