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 ...
Abstract. In this paper, we examine a number of newly applied methods for combining pre-retrieval query performance predictors in order to obtain a better prediction of the queryâ€...
The aim of query-based sampling is to obtain a sufficient, representative sample of an underlying (text) collection. Current measures for assessing sample quality are too coarse gr...
In this paper we address the task of ï¬nding topically relevant email messages in public discussion lists. We make two important observations. First, email messages are not isolat...
Wouter Weerkamp, Krisztian Balog, Maarten de Rijke
Recently, existing design methodologies targeting traditional Web applications have been extended for Rich Internet Application modeling support. These extended methodologies curre...