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2026 Conference Publication How Variability Influences Podcast Search: Queries, Transcriptions, and JudgesMansour, Watheq, Culpepper, J. Shane, Yates, Andrew and Mackenzie, Joel (2026). How Variability Influences Podcast Search: Queries, Transcriptions, and Judges. New York, NY, USA: ACM. doi: 10.1145/3805712.3809668 |
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2026 Conference Publication When LLM Judges Inflate Scores: Exploring Overrating in Relevance AssessmentYu, Chuting, Li, Hang, Zuccon, Guido, Mackenzie, Joel and Leelanupab, Teerapong (2026). When LLM Judges Inflate Scores: Exploring Overrating in Relevance Assessment. New York, NY, USA: ACM. doi: 10.1145/3805712.3809905 |
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2026 Conference Publication LLM-UP: SIGIR 2026 Workshop on LLM-powered User Profiling for Search and RecommendationYin, Hongzhi, Yuan, Wei, Zhang, Yi, Mackenzie, Joel, Nguyen, Quoc Viet Hung, Zhao, Wayne Xin, Li, Yong and Yao, Lina (2026). LLM-UP: SIGIR 2026 Workshop on LLM-powered User Profiling for Search and Recommendation. New York, NY, USA: ACM. doi: 10.1145/3805712.3808652 |
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2026 Journal Article Simple techniques for efficient top-k batch query processingLi, 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 |
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2026 Conference Publication Revisiting Human-vs-LLM Judgments Using the TREC Podcast TrackMansour, Watheq, Shane Culpepper, J., Mackenzie, Joel and Yates, Andrew (2026). Revisiting Human-vs-LLM Judgments Using the TREC Podcast Track. Cham: Springer Nature Switzerland. doi: 10.1007/978-3-032-21300-6_34 |
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2026 Conference Publication Fast, Compact, Immediate-Access Indexing for Learned Sparse Retrieval SystemsRule, Billy and Mackenzie, Joel (2026). Fast, Compact, Immediate-Access Indexing for Learned Sparse Retrieval Systems. Cham: Springer Nature Switzerland. doi: 10.1007/978-3-032-21324-2_1 |
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2026 Conference Publication Practical, Efficient, In-Memory Inverted IndexesMackenzie, Joel, MacAvaney, Sean, Mallia, Antonio and Siedlaczek, Michał (2026). Practical, Efficient, In-Memory Inverted Indexes. Cham: Springer Nature Switzerland. doi: 10.1007/978-3-032-21321-1_1 |
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2025 Conference Publication Empirical asymptotic growth of dynamic pruning mechanismsGallagher, Luke, Mackenzie, Joel and Moffat, Alistair (2025). Empirical asymptotic growth of dynamic pruning mechanisms. 2025 Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region, Xi'an, China, 7-10 December 2025. New York, NY, United States: ACM. doi: 10.1145/3767695.3769477 |
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2025 Journal Article Natural language processing for the legal domain: a survey of tasks, datasets, models, and challengesAriai, 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 |
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2025 Conference Publication A flexible resource for top-weighted comparisons between sets and rankingsMoffat, 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 |
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2025 Conference Publication Efficient in-memory inverted indexes: theory and practiceMackenzie, 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 |
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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 |
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2025 Conference Publication Approximate Bag-of-Words Top-k Corpus GraphsDunn, 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 |
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2025 Conference Publication Examining the Impact of Transcript Variation on Podcast Search and Re-rankingMansour, 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 |
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2025 Conference Publication Batched k-mer lookup on the Spectral Burrows-Wheeler TransformAlanko, 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 |
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2024 Conference Publication Rank-biased quality measurement for sets and rankingsMoffat, 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 |
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2024 Conference Publication Re-evaluating the command-and-control paradigm in conversational search interactionsTrippas, 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 |
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2024 Conference Publication Revisiting document expansion and filtering for effective first-stage retrievalMansour, 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 |
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2024 Conference Publication ReNeuIR at SIGIR 2024: The Third Workshop on Reaching Efficiency in Neural Information RetrievalFröbe, 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 |
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2024 Conference Publication What do users really ask large language models? An initial log analysis of Google Bard interactions in the wildTrippas, 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 |
