
Overview
Background
I am currently a lecturer 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
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Evaluating Search Systems
Empirical Experimentation, Metrics, Data Visualization, User Behaviour
Works
Search Professor Joel Mackenzie’s works on UQ eSpace
2022
Conference Publication
A flexible framework for offline effectiveness metrics
Moffat, Alistair, MacKenzie, Joel, Thomas, Paul and Azzopardi, Leif (2022). A flexible framework for offline effectiveness metrics. 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), Madrid, Spain, 11-15 July 2022. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3477495.3531924
2022
Conference Publication
A common framework for exploring document-at-a-time and score-at-a-time retrieval methods
Trotman, Andrew, MacKenzie, Joel, Parameswaran, Pradeesh and Lin, Jimmy (2022). A common framework for exploring document-at-a-time and score-at-a-time retrieval methods. 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), Madrid, Spain, 11-15 July 2022. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3477495.3531657
2022
Conference Publication
Faster learned sparse retrieval with guided traversal
Mallia, Antonio, MacKenzie, Joel, Suel, Torsten and Tonellotto, Nicola (2022). Faster learned sparse retrieval with guided traversal. 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), Madrid, Spain, 11-15 July 2022. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3477495.3531774
2022
Journal Article
Tradeoff options for bipartite graph partitioning
Mackenzie, Joel, Petri, Matthias and Moffat, Alistair (2022). Tradeoff options for bipartite graph partitioning. IEEE Transactions on Knowledge and Data Engineering, PP (99), 1-15. doi: 10.1109/tkde.2022.3208902
2022
Journal Article
Anytime ranking on document-ordered indexes
Mackenzie, Joel, Petri, Matthias and Moffat, Alistair (2022). Anytime ranking on document-ordered indexes. ACM Transactions on Information Systems, 40 (1) 13, 1-32. doi: 10.1145/3467890
2022
Conference Publication
BUM at CheckThat! 2022: a composite deep learning approach to fake news detection using evidence retrieval
La Barbera, David, Roitero, Kevin, Mackenzie, Joel, Spina, Damiano, Demartini, Gianluca and Mizzaro, Stefano (2022). BUM at CheckThat! 2022: a composite deep learning approach to fake news detection using evidence retrieval. CLEF 2022 – Conference and Labs of the Evaluation Forum,, Bologna, Italy, 5-8 September 2022. Aachen, Germany: Rheinisch-Westfaelische Technische Hochschule Aachen * Lehrstuhl Informatik V.
2022
Journal Article
Efficient query processing techniques for next-page retrieval
Mackenzie, Joel, Petri, Matthias and Moffat, Alistair (2022). Efficient query processing techniques for next-page retrieval. Information Retrieval Journal, 25 (1), 27-43. doi: 10.1007/s10791-021-09402-7
2021
Journal Article
Greetings from the ADCS 2021 General Chairs
MacKenzie, Joel and Spina, Damiano (2021). Greetings from the ADCS 2021 General Chairs. ACM International Conference Proceeding Series 6.
2021
Conference Publication
Cost-Effective Updating of Distributed Reordered Indexes
MacKenzie, Joel and Moffat, Alistair (2021). Cost-Effective Updating of Distributed Reordered Indexes. ADCS '21: 25th Australasian Document Computing Symposium, Online, 9 December 2021. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3503516.3503528
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
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
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
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
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
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
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
Funding
Current funding
Supervision
Availability
- Dr Joel Mackenzie is:
- Available for supervision
Before you email them, read our advice on how to contact a supervisor.
Supervision history
Current supervision
-
Doctor Philosophy
Efficient Next-Generation Information Retrieval Systems
Principal Advisor
Other advisors: Professor Shane Culpepper
-
Master Philosophy
Search and Recommendation using Large Language Models
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
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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