Skip to menu Skip to content Skip to footer

2026

Journal Article

Simple techniques for efficient top-k batch query processing

Li, Zhixuan and Mackenzie, Joel (2026). Simple techniques for efficient top-k batch query processing. Information Retrieval Research, 2 (1), 35-58. doi: 10.54195/irrj.23893

Simple techniques for efficient top-k batch query processing

2026

Book Chapter

Revisiting Human-vs-LLM Judgments Using the TREC Podcast Track

Mansour, Watheq, Shane Culpepper, J., Mackenzie, Joel and Yates, Andrew (2026). Revisiting Human-vs-LLM Judgments Using the TREC Podcast Track. Lecture Notes in Computer Science. (pp. 436-443) Cham: Springer Nature Switzerland. doi: 10.1007/978-3-032-21300-6_34

Revisiting Human-vs-LLM Judgments Using the TREC Podcast Track

2026

Book Chapter

Fast, Compact, Immediate-Access Indexing for Learned Sparse Retrieval Systems

Rule, Billy and Mackenzie, Joel (2026). Fast, Compact, Immediate-Access Indexing for Learned Sparse Retrieval Systems. Lecture Notes in Computer Science. (pp. 3-16) Cham: Springer Nature Switzerland. doi: 10.1007/978-3-032-21324-2_1

Fast, Compact, Immediate-Access Indexing for Learned Sparse Retrieval Systems

2026

Book Chapter

Practical, Efficient, In-Memory Inverted Indexes

Mackenzie, Joel, MacAvaney, Sean, Mallia, Antonio and Siedlaczek, Michał (2026). Practical, Efficient, In-Memory Inverted Indexes. Lecture Notes in Computer Science. (pp. 3-10) Cham: Springer Nature Switzerland. doi: 10.1007/978-3-032-21321-1_1

Practical, Efficient, In-Memory Inverted Indexes

2025

Conference Publication

Empirical Asymptotic Growth of Dynamic Pruning Mechanisms

Gallagher, Luke, Mackenzie, Joel and Moffat, Alistair (2025). Empirical Asymptotic Growth of Dynamic Pruning Mechanisms. New York, NY, USA: ACM. doi: 10.1145/3767695.3769477

Empirical Asymptotic Growth of Dynamic Pruning Mechanisms

2025

Journal Article

Natural language processing for the legal domain: a survey of tasks, datasets, models, and challenges

Ariai, Farid, Mackenzie, Joel and Demartini, Gianluca (2025). Natural language processing for the legal domain: a survey of tasks, datasets, models, and challenges. ACM Computing Surveys, 58 (6) 163, 1-37. doi: 10.1145/3777009

Natural language processing for the legal domain: a survey of tasks, datasets, models, and challenges

2025

Conference Publication

A flexible resource for top-weighted comparisons between sets and rankings

Moffat, Alistair, Mackenzie, Joel, Mallia, Antonio and Petri, Matthias (2025). A flexible resource for top-weighted comparisons between sets and rankings. 48th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (ACM SIGIR 2025), Padua, Italy, 13-18 July 2025. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3726302.3730306

A flexible resource for top-weighted comparisons between sets and rankings

2025

Conference Publication

Efficient in-memory inverted indexes: theory and practice

Mackenzie, Joel, MacAvaney, Sean, Mallia, Antonio and Siedlaczek, Michał (2025). Efficient in-memory inverted indexes: theory and practice. 48th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (ACM SIGIR 2025), Padua, Italy, 13-18 July 2025. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3726302.3731688

Efficient in-memory inverted indexes: theory and practice

2025

Journal Article

Report from the 4th Strategic Workshop on Information Retrieval in Lorne (SWIRL 2025)

Trippas, Johanne R., Culpepper, J. Shane, Aliannejadi, Mohammad, Allan, James, Amigó, Enrique, Arguello, Jaime, Azzopardi, Leif, Bailey, Peter, Callan, Jamie, Capra, Rob, Craswell, Nick, Croft, Bruce, Dalton, Jeff, Demartini, Gianluca, Dietz, Laura, Dou, Zhicheng, Eickhoff, Carsten, Ekstrand, Michael, Ferro, Nicola, Fuhr, Norbert, Glowacka, Dorota, Hasibi, Faegheh, Hettiachchi, Danula, Jones, Rosie, Kamps, Jaap, Kando, Noriko, Karimi, Sarvnaz, Kato, Makoto P., Koopman, Bevan ... Zuccon, Guido (2025). Report from the 4th Strategic Workshop on Information Retrieval in Lorne (SWIRL 2025). ACM SIGIR Forum, 59 (1), 1-68. doi: 10.1145/3769733.3769739

Report from the 4th Strategic Workshop on Information Retrieval in Lorne (SWIRL 2025)

2025

Conference Publication

Approximate Bag-of-Words Top-k Corpus Graphs

Dunn, Lachlan, Gallagher, Luke and Mackenzie, Joel (2025). Approximate Bag-of-Words Top-k Corpus Graphs. 47th European Conference on Information Retrieval, ECIR 2025, Lucca, Italy, 6–10 April 2025. Cham, Switzerland: Springer. doi: 10.1007/978-3-031-88714-7_15

Approximate Bag-of-Words Top-k Corpus Graphs

2025

Conference Publication

Examining the Impact of Transcript Variation on Podcast Search and Re-ranking

Mansour, Watheq, Culpepper, J. Shane and Mackenzie, Joel (2025). Examining the Impact of Transcript Variation on Podcast Search and Re-ranking. 47th European Conference on Information Retrieval, ECIR 2025, Lucca, Italy, 6–10 April 2025. Cham, Switzerland: Springer. doi: 10.1007/978-3-031-88714-7_9

Examining the Impact of Transcript Variation on Podcast Search and Re-ranking

2025

Conference Publication

Batched k-mer lookup on the Spectral Burrows-Wheeler Transform

Alanko, Jarno N., Biagi, Elena, Mackenzie, Joel and Puglisi, Simon J. (2025). Batched k-mer lookup on the Spectral Burrows-Wheeler Transform. SIAM Symposium on Algorithm Engineering and Experiments (ALENEX25), New Orleans, United States, 12-13 January 2025. Philadelphia, PA, United States: Society for Industrial and Applied Mathematics Publications. doi: 10.1137/1.9781611978339.8

Batched k-mer lookup on the Spectral Burrows-Wheeler Transform

2024

Conference Publication

Rank-biased quality measurement for sets and rankings

Moffat, Alistair, Mackenzie, Joel, Mallia, Antonio and Petri, Matthias (2024). Rank-biased quality measurement for sets and rankings. 2024 Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region (SIGIR-AP ’24), Tokyo, Japan, 9-12 December 2024. New York, United States: Association for Computing Machinery. doi: 10.1145/3673791.3698405

Rank-biased quality measurement for sets and rankings

2024

Conference Publication

Re-evaluating the command-and-control paradigm in conversational search interactions

Trippas, Johanne R., Gallagher, Luke and Mackenzie, Joel (2024). Re-evaluating the command-and-control paradigm in conversational search interactions. 33rd ACM International Conference on Information and Knowledge Management (CIKM), Boise, ID, United States, 21-25 October 2024. New York, United States: Association for Computing Machinery. doi: 10.1145/3627673.3679588

Re-evaluating the command-and-control paradigm in conversational search interactions

2024

Conference Publication

Revisiting document expansion and filtering for effective first-stage retrieval

Mansour, Watheq, Zhuang, Shengyao, Zuccon, Guido and Mackenzie, Joel (2024). Revisiting document expansion and filtering for effective first-stage retrieval. SIGIR '24, Washington, DC, United States, 14-18 July 2024. New York, NY, United States: ACM. doi: 10.1145/3626772.3657850

Revisiting document expansion and filtering for effective first-stage retrieval

2024

Conference Publication

ReNeuIR at SIGIR 2024: The Third Workshop on Reaching Efficiency in Neural Information Retrieval

Fröbe, Maik, Mackenzie, Joel, Mitra, Bhaskar, Nardini, Franco Maria and Potthast, Martin (2024). ReNeuIR at SIGIR 2024: The Third Workshop on Reaching Efficiency in Neural Information Retrieval. SIGIR '24, Washington, DC, United States, 14 - 18 July 2024. New York, NY, United States: ACM. doi: 10.1145/3626772.3657994

ReNeuIR at SIGIR 2024: The Third Workshop on Reaching Efficiency in Neural Information Retrieval

2024

Conference Publication

What do users really ask large language models? An initial log analysis of Google Bard interactions in the wild

Trippas, Johanne R., Al Lawati, Sara Fahad Dawood, Mackenzie, Joel and Gallagher, Luke (2024). What do users really ask large language models? An initial log analysis of Google Bard interactions in the wild. SIGIR '24: 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, Washington, DC, United States, 14-18 July 2024. New York, NY, United States: ACM. doi: 10.1145/3626772.3657914

What do users really ask large language models? An initial log analysis of Google Bard interactions in the wild

2024

Journal Article

How much freedom does an effectiveness metric really have?

Moffat, Alistair and Mackenzie, Joel (2024). How much freedom does an effectiveness metric really have?. Journal of the Association for Information Science and Technology, 75 (6), 686-703. doi: 10.1002/asi.24874

How much freedom does an effectiveness metric really have?

2023

Conference Publication

Lossy compression options for dense index retention

Mackenzie, Joel and Moffat, Alistair (2023). Lossy compression options for dense index retention. 1st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region (SIGIR-AP), Beijing, Peoples Republic of China, 26-28 November 2023. New York, NY, United States: ACM. doi: 10.1145/3624918.3625316

Lossy compression options for dense index retention

2023

Conference Publication

Exploring the representation power of SPLADE models

Mackenzie, Joel, Zhuang, Shengyao and Zuccon, Guido (2023). Exploring the representation power of SPLADE models. ICTIR '23: The 2023 ACM SIGIR International Conference on the Theory of Information Retrieval, Taipei, Taiwan, 23 July 2023. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3578337.3605129

Exploring the representation power of SPLADE models