20 citations · 29 across the 7 of their papers we have counts for
7 papers
Conversational Gold: Evaluating Personalized Conversational Search System using Gold Nuggets
Zahra Abbasiantaeb, Simon Lupart, Leif Azzopardi +2
The rise of personalized conversational search systems has been driven by advancements in Large Language Models (LLMs), enabling these systems to retrieve and generate answers for…
Improving the Reusability of Conversational Search Test Collections
Zahra Abbasiantaeb, Chuan Meng, Leif Azzopardi +1
Incomplete relevance judgments limit the reusability of test collections. When new systems are compared to previous systems that contributed to the pool, they often face a disadvan…
Can We Use Large Language Models to Fill Relevance Judgment Holes?
Zahra Abbasiantaeb, Chuan Meng, Leif Azzopardi +1
Incomplete relevance judgments limit the re-usability of test collections. When new systems are compared against previous systems used to build the pool of judged documents, they o…
TREC iKAT 2023: A Test Collection for Evaluating Conversational and Interactive Knowledge Assistants
Mohammad Aliannejadi, Zahra Abbasiantaeb, Shubham Chatterjee +2
Conversational information seeking has evolved rapidly in the last few years with the development of Large Language Models (LLMs), providing the basis for interpreting and respondi…
A Conceptual Framework for Conversational Search and Recommendation: Conceptualizing Agent-Human Interactions During the Conversational Search Process
Leif Azzopardi, Mateusz Dubiel, Martin Halvey +1
The conversational search task aims to enable a user to resolve information needs via natural language dialogue with an agent. In this paper, we aim to develop a conceptual framewo…
The Influence of Presentation and Performance on User Satisfaction
Kanaad Pathak, Leif Azzopardi, Martin Halvey
The effectiveness of an IR system is gauged not just by its ability to retrieve relevant results but also by how it presents these results to users; an engaging presentation often…
Ranking Heterogeneous Search Result Pages using the Interactive Probability Ranking Principle
Kanaad Pathak, Leif Azzopardi, Martin Halvey
The Probability Ranking Principle (PRP) ranks search results based on their expected utility derived solely from document contents, often overlooking the nuances of presentation an…