We critically review literature on the association between searching and learning and
contribute to the formulation of a research agenda for searching as learning. The paper …

In legal case retrieval, existing work has shown that human-mediated conversational search
can improve users' search experience. In practice, a suitable workflow can provide …

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 …

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 …

Exploratory search requires the system to assist the user in comprehending the information
space and expressing evolving search intents for iterative exploration and retrieval of …

Getting a better understanding of user behavior is important for advancing information
retrieval systems. Existing work focuses on modeling and predicting single interaction …

Large language model (LLM) applications, such as ChatGPT, are a powerful tool for online
information-seeking (IS) and problem-solving tasks. However, users still face challenges …

The importance of e-commerce platforms has driven forward a growing body of research
work on e-commerce search. We present the first large-scale and in-depth study of query …

People often conduct exploratory search to explore unfamiliar information space and learn
new knowledge. While supporting the highly dynamic and interactive exploratory search is …

Music-streaming platforms offer users a large amount of content for consumption. Finding
the right music can be challenging and users often need to search through extensive …