Query performance prediction is aimed at predicting the retrieval effectiveness that a query will achieve with respect to a particular ranking model. In this paper, we study quer...
The performance of many supervised and unsupervised learning algorithms is very sensitive to the choice of an appropriate distance metric. Previous work in metric learning and ada...
Previous research in novelty detection has focused on the task of finding novel material, given a set or stream of documents on a certain topic. This study investigates the more ...
We propose an efficient dialogue management for an information navigation system based on a document knowledge base with a spoken dialogue interface. In order to perform robustly ...
In-place and merge-based index maintenance are the two main competing strategies for on-line index construction in dynamic information retrieval systems based on inverted lists. Mo...