activity
20222026
most citedMG-ShopDial: A Multi-Goal Conversational Dataset for e-Commerce

18 citations · 52 across the 15 of their papers we have counts for

collaborators

15 papers

cs.IR2026

CIR at iKAT SCAI 2026: Exploring Clarification Need Prediction in Agentic Conversational Search

Nolwenn Bernard, Jüri Keller, Philipp Schaer

This paper presents the participation of the Cologne Information Retrieval group in the iKAT SCAI 2026 shared task. We use an agentic conversational search system, equipped with to…

cs.IR2026

Validating Search Query Simulations: A Taxonomy of Measures

Andreas Konstantin Kruff, Nolwenn Bernard, Philipp Schaer

Assessing the validity of user simulators when used for the evaluation of information retrieval systems remains an open question, constraining their effective use and the reliabili…

cs.IR2025

UserSimCRS v2: Simulation-Based Evaluation for Conversational Recommender Systems

Nolwenn Bernard, Krisztian Balog

Resources for simulation-based evaluation of conversational recommender systems (CRSs) are scarce. The UserSimCRS toolkit was introduced to address this gap. In this work, we prese…

cs.IR2025★ 3 cited

Limitations of Current Evaluation Practices for Conversational Recommender Systems and the Potential of User Simulation

Nolwenn Bernard, Krisztian Balog

Research and development on conversational recommender systems (CRSs) critically depends on sound and reliable evaluation methodologies. However, the interactive nature of these sy…

cs.IR2025★ 1 cited

SimLab: A Platform for Simulation-based Evaluation of Conversational Information Access Systems

Nolwenn Bernard, Sharath Chandra Etagi Suresh, Krisztian Balog +1

Progress in conversational information access (CIA) systems has been hindered by the difficulty of evaluating such systems with reproducible experiments. While user simulation offe…

cs.IR2024★ 3 cited

CRS Arena: Crowdsourced Benchmarking of Conversational Recommender Systems

Nolwenn Bernard, Hideaki Joko, Faegheh Hasibi +1

We introduce CRS Arena, a research platform for scalable benchmarking of Conversational Recommender Systems (CRS) based on human feedback. The platform displays pairwise battles be…

cs.IR2024★ 1 cited

Report on the Workshop on Simulations for Information Access (Sim4IA 2024) at SIGIR 2024

Timo Breuer, Christin Katharina Kreutz, Norbert Fuhr +15

This paper is a report of the Workshop on Simulations for Information Access (Sim4IA) workshop at SIGIR 2024. The workshop had two keynotes, a panel discussion, nine lightning talk…

cs.IR2024★ 5 cited

Towards a Formal Characterization of User Simulation Objectives in Conversational Information Access

Nolwenn Bernard, Krisztian Balog

User simulation is a promising approach for automatically training and evaluating conversational information access agents, enabling the generation of synthetic dialogues and facil…

cs.IR2024★ 3 cited

Identifying Breakdowns in Conversational Recommender Systems using User Simulation

Nolwenn Bernard, Krisztian Balog

We present a methodology to systematically test conversational recommender systems with regards to conversational breakdowns. It involves examining conversations generated between…

cs.IR2024★ 1 cited

IAI MovieBot 2.0: An Enhanced Research Platform with Trainable Neural Components and Transparent User Modeling

Nolwenn Bernard, Ivica Kostric, Krisztian Balog

While interest in conversational recommender systems has been on the rise, operational systems suitable for serving as research platforms for comprehensive studies are currently la…

cs.HC2024

PKG API: A Tool for Personal Knowledge Graph Management

Nolwenn Bernard, Ivica Kostric, Weronika Łajewska +4

Personal knowledge graphs (PKGs) offer individuals a way to store and consolidate their fragmented personal data in a central place, improving service personalization while maintai…

cs.IR2023★ 3 cited

Leveraging User Simulation to Develop and Evaluate Conversational Information Access Agents

Nolwenn Bernard

We observe a change in the way users access information, that is, the rise of conversational information access (CIA) agents. However, the automatic evaluation of these agents rema…

cs.IR2023★ 18 cited

MG-ShopDial: A Multi-Goal Conversational Dataset for e-Commerce

Nolwenn Bernard, Krisztian Balog

Conversational systems can be particularly effective in supporting complex information seeking scenarios with evolving information needs. Finding the right products on an e-commerc…

cs.AI2023★ 11 cited

An Ecosystem for Personal Knowledge Graphs: A Survey and Research Roadmap

Martin G. Skjæveland, Krisztian Balog, Nolwenn Bernard +2

This paper presents an ecosystem for personal knowledge graphs (PKGs), commonly defined as resources of structured information about entities related to an individual, their attrib…

cs.IR2022★ 3 cited

DAGFiNN: A Conversational Conference Assistant

Ivica Kostric, Krisztian Balog, Tølløv Alexander Aresvik +10

DAGFiNN is a conversational conference assistant that can be made available for a given conference both as a chatbot on the website and as a Furhat robot physically exhibited at th…