Query Performance Prediction is a key task in IR, focusing on estimating the retrieval quality
of a given query without relying on human-labeled relevance judgments. Over the decades …

Explainable information retrieval is an emerging research area aiming to make transparent
and trustworthy information retrieval systems. Given the increasing use of complex machine …

While systematic literature reviews are frequently carried out within software engineering
research, performing them in a rigorous and reproducible manner can be difficult. This paper …

Ranking systems are the key components of modern Information Retrieval (IR) applications,
such as search engines and recommender systems. Besides the ranking relevance to users …

Query performance prediction (QPP) is a core task in information retrieval (IR) that aims at
predicting the retrieval quality for a given query without relevance judgments. QPP has been …

Search engines play a crucial role in organizing and delivering information to billions of
users worldwide. However, these systems often reflect and amplify existing societal biases …

Information retrieval (IR) technologies and research are undergoing transformative changes.
It is our perspective that the community should accept this opportunity to re-center our …

Fairness has gained increasing importance in a variety of AI and machine learning contexts.
As one of the most ubiquitous applications of machine learning, search engines mediate …

Recent studies have shown that information retrieval systems may exhibit stereotypical
gender biases in outcomes which may lead to discrimination against minority groups, such …

Result ranking often affects consumer satisfaction as well as the amount of exposure each
item receives in the ranking services. Myopically maximizing customer satisfaction by …