no code implementations • 11 Apr 2024 • Marwah Alaofi, Negar Arabzadeh, Charles L. A. Clarke, Mark Sanderson
We resolve this apparent circularity in two ways: 1) by viewing LLM-based assessment as a form of "slow search", where a slower IR system is used for evaluation and training of a faster production IR system; and 2) by recognizing a continuing need to ground evaluation in human assessment, even if the characteristics of that human assessment must change.
no code implementations • 14 Mar 2024 • Leila Tavakoli, Johanne R. Trippas, Hamed Zamani, Falk Scholer, Mark Sanderson
The effectiveness of clarification question models in engaging users within search systems is currently constrained, casting doubt on their overall usefulness.
no code implementations • 26 Aug 2023 • Bayu Distiawan Trisedya, Flora D Salim, Jeffrey Chan, Damiano Spina, Falk Scholer, Mark Sanderson
One of the strategies to address this problem is KG alignment, i. e., forming a more complete KG by merging two or more KGs.
1 code implementation • 20 Aug 2023 • Danula Hettiachchi, Kaixin Ji, Jenny Kennedy, Anthony McCosker, Flora D. Salim, Mark Sanderson, Falk Scholer, Damiano Spina
We address this research gap by exploring the critical design elements in fact-checking reports and investigating whether credibility and presentation-based design improvements can enhance users' ability to interpret the report accurately.
no code implementations • 15 Apr 2023 • Yueqing Xuan, Kacper Sokol, Jeffrey Chan, Mark Sanderson
Users of recommender systems tend to differ in their level of interaction with these algorithms, which may affect the quality of recommendations they receive and lead to undesirable performance disparity.
no code implementations • 9 Jun 2022 • Leila Tavakoli, Johanne R. Trippas, Hamed Zamani, Falk Scholer, Mark Sanderson
Asking clarification questions is an active area of research; however, resources for training and evaluating search clarification methods are not sufficient.
no code implementations • 26 Aug 2020 • Manpreet Kaur, Flora D. Salim, Yongli Ren, Jeffrey Chan, Martin Tomko, Mark Sanderson
This paper investigates the Cyber-Physical behavior of users in a large indoor shopping mall by leveraging anonymized (opt in) Wi-Fi association and browsing logs recorded by the mall operators.
no code implementations • 18 May 2020 • Avishek Anand, Lawrence Cavedon, Matthias Hagen, Hideo Joho, Mark Sanderson, Benno Stein
Dagstuhl Seminar 19461 "Conversational Search" was held on 10-15 November 2019.
no code implementations • 19 Jan 2020 • Krisztian Balog, Lucie Flekova, Matthias Hagen, Rosie Jones, Martin Potthast, Filip Radlinski, Mark Sanderson, Svitlana Vakulenko, Hamed Zamani
This paper discusses the potential for creating academic resources (tools, data, and evaluation approaches) to support research in conversational search, by focusing on realistic information needs and conversational interactions.
no code implementations • 29 Oct 2019 • Johanne R. Trippas, Damiano Spina, Paul Thomas, Mark Sanderson, Hideo Joho, Lawrence Cavedon
Conversation is the natural mode for information exchange in daily life, a spoken conversational interaction for search input and output is a logical format for information seeking.
no code implementations • 12 Jan 2019 • Johanne R. Trippas, Damiano Spina, Lawrence Cavedon, Hideo Joho, Mark Sanderson
We compared the interactions to existing models of search behaviour.
no code implementations • 24 May 2017 • Omid Aghili, Mark Sanderson
Based on interviews with eleven journalists along with a study of a set of university level journalism modules, we determined the categories of information need types that lead journalists to social media.