Test collection is used to evaluate the information retrieval systems in laboratory‐based
evaluation experimentation. In a classic setting, generating relevance judgments involves …

Computational methods for depression detection aim to mine traces of depression from
online publications posted by Internet users. However, solutions trained on existing …

With the progressive and availability of various search tools, interest in the evaluation of
information retrieval based on user perspective has grown tremendously among …

Information Retrieval systems rely on large test collections to measure their effectiveness in
retrieving relevant documents. While the demand is high, the task of creating such test …

This chapter aims to master web mining and Information Retrieval (IR) in the digital age, thus
describing the overviews of web mining and web usage mining; the significance of web …

Abstract Question Answering (QA) Systems are put forward as a real alternative to
Information Retrieval systems as they provide the user with a fast and comprehensible …

While test collections provide the cornerstone for Cranfield-based evaluation of information
retrieval (IR) systems, it has become practically infeasible to rely on traditional pooling …

Given limited time and space, IR studies often report few evaluation metrics which must be
carefully selected. To inform such selection, we first quantify correlation between 23 popular …

Introduction. To improve user satisfaction and loyalty to the search engines, the performance
of the retrieval systems has to be better in terms of the number of relevant documents …

La creación de sistemas integradores de productos de investigación, como el Researcher
ID de Thomson Reuters, ha sido una necesidad emergente debido a lo complejo que es …