Search under uncertainty: Cognitive biases and heuristics: a tutorial on testing, mitigating and accounting for cognitive biases in search experiments

J Liu, L Azzopardi - Proceedings of the 47th International ACM SIGIR …, 2024 - dl.acm.org
Understanding how people interact with search interfaces is core to the field of Interactive
Information Retrieval (IIR). While various models have been proposed (eg, Belkin's ASK …

The search as learning spaceship: Toward a comprehensive model of psychological and technological facets of search as learning

J Von Hoyer, A Hoppe, Y Kammerer, C Otto… - Frontiers in …, 2022 - frontiersin.org
Using a Web search engine is one of today's most frequent activities. Exploratory search
activities which are carried out in order to gain knowledge are conceptualized and denoted …

Toward Cranfield-inspired reusability assessment in interactive information retrieval evaluation

J Liu - Information Processing & Management, 2022 - Elsevier
Re-using research resources is essential for advancing knowledge and develo**
repeatable, empirically solid experiments in scientific fields, including interactive information …

Online and offline evaluation in search clarification

L Tavakoli, JR Trippas, H Zamani, F Scholer… - ACM Transactions on …, 2024 - dl.acm.org
The effectiveness of clarification question models in engaging users within search systems
is currently constrained, casting doubt on their overall usefulness. To improve the …

Toward a conceptual framework characterizing the interplay of interest development, information search, and knowledge construction (ISK) in Children's learning

YJ Jung, J Liu - Aslib Journal of Information Management, 2024 - emerald.com
Toward a conceptual framework characterizing the interplay of interest development, information
search, and knowledge construction (ISK) in Children’s learning | Emerald Insight Books and …

Sigir 2024 workshop on simulations for information access (sim4ia 2024)

P Schaer, CK Kreutz, K Balog, T Breuer… - Proceedings of the 47th …, 2024 - dl.acm.org
Simulations in various forms have been used to evaluate information access systems, like
search engines, recommender systems, or conversational agents. In the form of the …

Leveraging user interaction signals and task state information in adaptively optimizing usefulness-oriented search sessions

J Liu, C Shah - Proceedings of the 22nd ACM/IEEE joint conference on …, 2022 - dl.acm.org
Current information retrieval (IR) systems still face plenty of challenges when applied in
addressing complex search tasks (CSTs) that trigger multi-round search iterations. Existing …

Constructing and meta-evaluating state-aware evaluation metrics for interactive search systems

M Markwald, J Liu, R Yu - Information Retrieval Journal, 2023 - Springer
Abstract Evaluation metrics such as precision, recall and normalized discounted cumulative
gain have been widely applied in ad hoc retrieval experiments. They have facilitated the …

Matching search result diversity with user diversity acceptance in web search sessions

J Liu, F Han - Proceedings of the 45th international ACM SIGIR …, 2022 - dl.acm.org
Promoting diversity in ranking while maintaining the relevance of ranked results is critical for
enhancing human-centered search systems. While existing ranking algorithm and diversity …

Characterizing and Early Predicting User Performance for Adaptive Search Path Recommendation

B Wang, J Liu - Proceedings of the Association for Information …, 2023 - Wiley Online Library
User search performance is multidimensional in nature and may be better characterized by
metrics that depict users' interactions with both relevant and irrelevant results. Despite …