Voice-controlled intelligent personal assistants, such as Cortana, Google Now, Siri and
Alexa, are increasingly becoming a part of users' daily lives, especially on mobile devices …

In learning-to-rank for information retrieval, a ranking model is automatically learned from
the data and then utilized to rank the sets of retrieved documents. Therefore, an ideal …

There is a rapid growth in the use of voice-controlled intelligent personal assistants on
mobile devices, such as Microsoft's Cortana, Google Now, and Apple's Siri. They …

While in a classification or a regression setting a label or a value is assigned to each
individual document, in a ranking setting we determine the relevance ordering of the entire …

Online evaluation is one of the most common approaches to measure the effectiveness of an
information retrieval system. It involves fielding the information retrieval system to real users …

The results of information retrieval (IR) are usually presented in the form of a ranking list of
candidate documents, such as web search for humans and retrieval-augmented generation …

Web Search Engine Result Pages (SERPs) are complex responses to queries, containing
many heterogeneous result elements (web results, advertisements, and specialised" …

During the information search and retrieval (ISR) process, user-system interactions such as
submitting queries, examining results, and engaging with information impose some degree …

Relevance is a fundamental concept in information retrieval (IR) studies. It is however often
observed that relevance as annotated by secondary assessors may not necessarily mean …

The importance of tasks in information retrieval (IR) has been long argued for, addressed in
different ways, often ignored, and frequently revisited. For decades, scholars made a case …