The advent of recent Natural Language Processing technology has led human and machine
interactions more toward conversation. In Conversational Search Systems (CSS) like …

This research aims to explore various methods for assessing user feedback in mixed-
initiative conversational search (CS) systems. While CS systems enjoy profuse …

In Conversational Recommender Systems (CRSs), conversations usually involve a set of
related items and entities eg, attributes of items. These items and entities are mentioned in …

Clarifying an underlying user information need is an important aspect of a modern-day IR
system. The importance of clarification is even higher in limited-bandwidth scenarios, such …

Modern information-seeking systems are becoming more interactive, mainly through asking
Clarifying Questions (CQs) to refine users' information needs. System-generated CQs may …

The use of clarifying questions (CQs) is a fairly new and useful technique to aid systems in
recognizing the intent, context, and preferences behind user queries. Yet, understanding the …

This article aims to systematically investigate and elucidate the transformative effects of
Artificial Intelligence (AI) and Machine Learning (ML) on marketing strategies and consumer …

This research analyzes human‐generated clarification questions to provide insights into
how they are used to disambiguate and provide a better understanding of information …

In source code search, a common information-seeking strategy involves providing a short
initial query with a broad meaning, and then iteratively refining the query using terms …

Online shopping platforms, such as Amazon and AliExpress, are increasingly prevalent in
society, helping customers purchase products conveniently. With recent progress in natural …