Information retrieval aims to retrieve the documents that answer users' queries. A typical
search process consists of different phases for which a variety of components have been …

Learning to Rank (L2R) is the core task of many Information Retrieval systems. Recently, a
great effort has been put on exploring Deep Neural Networks (DNNs) for L2R, with …

In information retrieval systems, search parameters are optimized to ensure high
effectiveness based on a set of past searches, and these optimized parameters are then …

Stemming is supposed to improve the average performance of an information retrieval
system, but in practice, past experimental results show that this is not always the case. In this …

Query processing in search engines can be optimized for use for all queries. For this, system
component parameters such as the weighting function or the automatic query expansion …

Search engine configuration can be quite difficult for inexpert developers. Instead, an auto-
configuration approach can be used to speed up development time. Yet, such an automatic …