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Dr Joel Mackenzie
Dr

Joel Mackenzie

Email: 

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

Availability

Dr Joel Mackenzie is:
Available for supervision
Media expert

Research interests

  • Efficient Data Structures and Algorithms

    Inverted Indexes, Compression, Query Processing, Distributed Search, Parallel Processing, Data structures, Algorithms

  • Evaluating Search Systems

    Empirical Experimentation, Metrics, Data Visualization, User Behaviour

Works

Search Professor Joel Mackenzie’s works on UQ eSpace

54 works between 2015 and 2025

21 - 40 of 54 works

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

A flexible framework for offline effectiveness metrics

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

A common framework for exploring document-at-a-time and score-at-a-time retrieval methods

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

Faster learned sparse retrieval with guided traversal

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

Tradeoff options for bipartite graph partitioning

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

Anytime ranking on document-ordered indexes

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.

BUM at CheckThat! 2022: a composite deep learning approach to fake news detection using evidence retrieval

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

Efficient query processing techniques for next-page retrieval

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.

Greetings from the ADCS 2021 General Chairs

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

Cost-Effective Updating of Distributed Reordered Indexes

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.

On the separation of logical and physical ranking models for text retrieval applications

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

Faster Index Reordering with Bipartite Graph Partitioning

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

ERR is not C/W/L: exploring the relationship between expected reciprocal rank and other metrics

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

Modality Effects When Simulating User Querying Tasks

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

Different keystrokes for different folks: visualizing crowdworker querying behavior

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

CC-News-En : A large English news corpus

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

Examining the Additivity of Top-k Query Processing Innovations

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

Efficiency Implications of Term Weighting for Passage Retrieval

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

Managing tail latency in large scale information retrieval systems

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

Supporting Interoperability Between Open-Source Search Engines with the Common Index File Format

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

Boosting search performance using query variations

Funding

Current funding

  • 2024 - 2026
    Compressing Neural Indexes for Short and Long-Term Applications
    Google Asia Pacific Pte Ltd
    Open grant

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

Completed supervision

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

Need help?

For help with finding experts, story ideas and media enquiries, contact our Media team:

communications@uq.edu.au