Overview
Background
I am currently a senior lecturer and an ARC DECRA fellow at the University of Queensland, where I conduct research in the field of Information Retrieval. My research focuses on efficient and effective representations for large-scale search engines, including indexing, compression, and retrieval. I am also interested in understanding how to measure improvements in the end-to-end search pipeline, including system-oriented effectiveness measurements and user behaviour analysis. I have a broad interest in empirical experimentation, operating systems, data structures, and algorithms.
Previous Positions
- From February 2020 to January 2022 I worked as a postdoctoral research fellow on an ARC discovery project with Professor Alistair Moffat at the University of Melbourne.
- I completed my PhD at RMIT University under the guidance of Professor J. Shane Culpepper and Professor Falk Scholer.
Availability
- Dr Joel Mackenzie is:
- Available for supervision
- Media expert
Fields of research
Research interests
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Efficient Data Structures and Algorithms
Inverted Indexes, Compression, Query Processing, Distributed Search, Parallel Processing, Data structures, Algorithms, Bioinformatics, Strings
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Evaluating Search Systems
Empirical Experimentation, Metrics, Data Visualization, User Behaviour
Works
Search Professor Joel Mackenzie’s works on UQ eSpace
2021
Conference Publication
On the separation of logical and physical ranking models for text retrieval applications
Lin, Jimmy, Ma, Xueguang, Mackenzie, Joel and Mallia, Antonio (2021). On the separation of logical and physical ranking models for text retrieval applications. Second International Conference on Design of Experimental Search & Information Retrieval Systems (DESIRES 2021), Padova, Italy, 15-18 September 2021. Aachen, Germany: RWTH Aachen University.
2021
Conference Publication
Modality Effects When Simulating User Querying Tasks
MacKenzie, Joel and Moffat, Alistair (2021). Modality Effects When Simulating User Querying Tasks. ICTIR '21: The 2021 ACM SIGIR International Conference on the Theory of Information Retrieval, Online, 11 July 2021. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3471158.3472244
2021
Conference Publication
Faster Index Reordering with Bipartite Graph Partitioning
Mackenzie, Joel, Petri, Matthias and Moffat, Alistair (2021). Faster Index Reordering with Bipartite Graph Partitioning. SIGIR '21: 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Online, 11 - 15 July 2021. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3404835.3462991
2021
Conference Publication
ERR is not C/W/L: exploring the relationship between expected reciprocal rank and other metrics
Azzopardi, Leif, MacKenzie, Joel and Moffat, Alistair (2021). ERR is not C/W/L: exploring the relationship between expected reciprocal rank and other metrics. 2021 ACM SIGIR International Conference on the Theory of Information Retrieval (ICTIR '21), Virtual event, Canada, 11 July 2021. New York, United States: Association for Computing Machinery. doi: 10.1145/3471158.3472239
2021
Conference Publication
Different keystrokes for different folks: visualizing crowdworker querying behavior
Benham, Rodger, MacKenzie, Joel, Culpepper, J. Shane and Moffat, Alistair (2021). Different keystrokes for different folks: visualizing crowdworker querying behavior. CHIIR '21: ACM SIGIR Conference on Human Information Interaction and Retrieval, Canberra, ACT Australia, 14 - 19 March 2021. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3406522.3446054
2020
Conference Publication
Examining the Additivity of Top-k Query Processing Innovations
MacKenzie, Joel and Moffat, Alistair (2020). Examining the Additivity of Top-k Query Processing Innovations. CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, Online, 19 - 23 October 2020. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3340531.3412000
2020
Conference Publication
CC-News-En : A large English news corpus
Mackenzie, Joel, Benham, Rodger, Petri, Matthias, Trippas, Johanne R., Culpepper, J. Shane and Moffat, Alistair (2020). CC-News-En : A large English news corpus. CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, Online, 19 - 23 October 2020. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3340531.3412762
2020
Conference Publication
Efficiency Implications of Term Weighting for Passage Retrieval
Mackenzie, Joel, Dai, Zhuyun, Gallagher, Luke and Callan, Jamie (2020). Efficiency Implications of Term Weighting for Passage Retrieval. 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), Online, 25-30 July 2020. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3397271.3401263
2020
Journal Article
Managing tail latency in large scale information retrieval systems
Mackenzie, Joel M. (2020). Managing tail latency in large scale information retrieval systems. ACM SIGIR Forum, 54 (1), 1-2. doi: 10.1145/3451964.3451982
2020
Conference Publication
Supporting Interoperability Between Open-Source Search Engines with the Common Index File Format
Lin, Jimmy, Mackenzie, Joel, Kamphuis, Chris, Macdonald, Craig, Mallia, Antonio, Siedlaczek, Michal, Trotman, Andrew and de Vries, Arjen (2020). Supporting Interoperability Between Open-Source Search Engines with the Common Index File Format. 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), Online, 25-30 July 2020. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3397271.3401404
2019
Journal Article
Boosting search performance using query variations
Benham, Rodger, Mackenzie, Joel, Moffat, Alistair and Culpepper, J. Shane (2019). Boosting search performance using query variations. ACM Transactions On Information Systems, 37 (4) 41, 1-25. doi: 10.1145/3345001
2019
Conference Publication
Accelerated query processing via similarity score prediction
Petri, Matthias, Moffat, Alistair, Mackenzie, Joel, Culpepper, J. Shane and Beck, Daniel (2019). Accelerated query processing via similarity score prediction. 42nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), Paris, France, 21-25 July 2019. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3331184.3331207
2019
Conference Publication
Exploring User Behavior in Email Re-Finding Tasks
Mackenzie, Joel, Gupta, Kshitiz, Qiao, Fang, Awadallah, Ahmed Hassan and Shokouhi, Milad (2019). Exploring User Behavior in Email Re-Finding Tasks. World Wide Web Conference (WWW), San Francisco, CA United States, 13-17 May 2019. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3308558.3313450
2019
Conference Publication
Compressing inverted indexes with recursive graph bisection: A reproducibility study
Mackenzie, Joel, Mallia, Antonio, Petri, Matthias, Culpepper, J. Shane and Suel, Torsten (2019). Compressing inverted indexes with recursive graph bisection: A reproducibility study. 41st European Conference on IR Research, ECIR 2019, Cologne, Germany, 14-18 April 2019. Heidelberg, Germany: Springer. doi: 10.1007/978-3-030-15712-8_22
2019
Conference Publication
PISA: Performant indexes and search for academia
Mallia, Antonio, Siedlaczek, Michał, MacKenzie, Joel and Suel, Torsten (2019). PISA: Performant indexes and search for academia. Open-Source IR Replicability Challenge (OSIRRC 2019), Paris, France, 25 July 2019. Aachen, Germany: RWTH Aachen University.
2018
Conference Publication
Revisiting spam filtering in web search
Gallagher, Luke, Mackenzie, Joel and Culpepper, J. Shane (2018). Revisiting spam filtering in web search. 23rd Australasian Document Computing Symposium (ADCS), Dunedin, New Zealand, 11-12 December 2018. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3291992.3291999
2018
Conference Publication
On the cost of negation for dynamic pruning
Mackenzie, Joel, Macdonald, Craig, Scholer, Falk and Culpepper, J. Shane (2018). On the cost of negation for dynamic pruning. 40th European Conference on Information Retrieval Research (ECIR), Grenoble, France, 26-29 March 2018. Cham, Switzerland: Springer. doi: 10.1007/978-3-319-76941-7_42
2018
Conference Publication
Query driven algorithm selection in early stage retrieval
Mackenzie, Joel, Culpepper, J. Shane, Blanco, Roi, Crane, Matt, Clarke, Charles L. A. and Lin, Jimmy (2018). Query driven algorithm selection in early stage retrieval. 11th ACM International Conference on Web Search and Data Mining, Marina Del Rey, CA United States, 5-9 February 2018. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3159652.3159676
2018
Conference Publication
RMIT at the 2018 TREC CORE Track
Benham, Rodger, Liu, Binsheng, Gallagher, Luke, Lu, Xiaolu, Mackenzie, Joel, Scholer, Falk, Moffat, Alistair and Culpepper, J. Shane (2018). RMIT at the 2018 TREC CORE Track. National Institute of Standards and Technology (NIST).
2018
Conference Publication
Towards efficient and effective query variant generation
Benham, Rodger, Culpepper, J. Shane, Gallagher, Luke, Lu, Xiaolu and Mackenzie, Joel (2018). Towards efficient and effective query variant generation. First Biennial Conference on Design of Experimental Search & Information Retrieval Systems (DESIRES 2018), Bertinoro, Italy, 28-31 August 2018. Aachen, Germany: RWTH Aachen University.
Supervision
Availability
- Dr Joel Mackenzie is:
- Available for supervision
Looking for a supervisor? Read our advice on how to choose a supervisor.
Supervision history
Current supervision
-
Doctor Philosophy
Efficient Next-Generation Information Retrieval Systems
Principal Advisor
Other advisors: Professor Shane Culpepper
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Doctor Philosophy
From Auditing to Mitigation: The Role of Persona in Studying and Controlling Ideological Biases in Large Language Models
Associate Advisor
Other advisors: Professor Gianluca Demartini
-
Doctor Philosophy
Using Large Language Models to Improve Search andRecommendation
Associate Advisor
Other advisors: Professor Shane Culpepper
-
Doctor Philosophy
Human-Centred Artificial Intelligence for Democracy
Associate Advisor
Other advisors: Professor Gianluca Demartini
-
Doctor Philosophy
Using Large Language Models and Knowledge Graphs to Improve Search and Recommendation
Associate Advisor
Other advisors: Professor Shane Culpepper
-
Doctor Philosophy
Political Bias in Large Language Models: a Persona-based Perspective
Associate Advisor
Other advisors: Professor Gianluca Demartini
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Master Philosophy
Advanced Query Feedback with Large Language Models for Effective and Robust Neural Ranking
Associate Advisor
Other advisors: Dr Teerapong Leelanupab
-
Doctor Philosophy
Using Large Language Models to Improve Search andRecommendation
Associate Advisor
Other advisors: Professor Shane Culpepper
-
Doctor Philosophy
Human-centered verification of language model outputs
Associate Advisor
Other advisors: Professor Guido Zuccon, Professor Tim Miller
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Doctor Philosophy
Understanding and Enhancing Health Information Access
Associate Advisor
Other advisors: Professor Guido Zuccon
Completed supervision
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2023
Doctor Philosophy
Teaching Pre-trained Language Models to Rank Effectively, Efficiently, and Robustly
Associate Advisor
Other advisors: Professor Guido Zuccon
Media
Enquiries
Contact Dr Joel Mackenzie directly for media enquiries about:
- Big Data
- Data Science
- Data Structures and Algorithms
- Information Retrieval
- Search Algorithms
- Search Engines
- Web Search
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