We systematically compare five representative state-of-theart methods for estimating query language models with pseudo feedback in ad hoc information retrieval, including two var...
This paper exposes the results of our participation at INEX’07 in the AdHoc track and the comparison of these results with respect to the ones obtained last year. Three runs were...
Abstract. We show that several previously proposed passage-based document ranking principles, along with some new ones, can be derived from the same probabilistic model. We use lan...
Probabilistic retrieval models usually rank documents based on a scalar quantity. However, such models lack any estimate for the uncertainty associated with a document’s rank. Fu...
Jianhan Zhu, Jun Wang, Michael J. Taylor, Ingemar ...
The application of information retrieval techniques in interactive environments requires systems capable of efficiently processing vague queries. To reach reasonable response tim...