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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

41 - 54 of 54 works

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

Accelerated query processing via similarity score prediction

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

Exploring User Behavior in Email Re-Finding Tasks

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

Compressing inverted indexes with recursive graph bisection: A reproducibility study

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.

PISA: Performant indexes and search for academia

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

Revisiting spam filtering in web search

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

On the cost of negation for dynamic pruning

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

Query driven algorithm selection in early stage retrieval

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).

RMIT at the 2018 TREC CORE Track

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.

Towards efficient and effective query variant generation

2017

Conference Publication

Early termination heuristics for score-at-a-time index traversal

Mackenzie, Joel, Scholer, Falk and Culpepper, J. Shane (2017). Early termination heuristics for score-at-a-time index traversal. ADCS 2017: The 22nd Australasian Document Computing Symposium, Brisbane, QLD Australia, 7-8 December 2017. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3166072.3166073

Early termination heuristics for score-at-a-time index traversal

2017

Conference Publication

A comparison of document-at-a-time and score-at-a-time query evaluation

Crane, Matt, Culpepper, J. Shane, Lin, Jimmy, Mackenzie, Joel and Trotman, Andrew (2017). A comparison of document-at-a-time and score-at-a-time query evaluation. 10th ACM International Conference on Web Search and Data Mining (WSDM), Cambridge, United Kingdom, 6-10 February 2017. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3018661.3018726

A comparison of document-at-a-time and score-at-a-time query evaluation

2017

Conference Publication

Managing Tail Latencies in Large Scale IR Systems

Mackenzie, Joel (2017). Managing Tail Latencies in Large Scale IR Systems. 40th International ACM SIGIR conference on research and development in Information Retrieval, Shinjuku, Japan, 7-11 August 2017. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3077136.3084152

Managing Tail Latencies in Large Scale IR Systems

2016

Conference Publication

RMIT at the TREC 2016 LiveQA Track

Mackenzie, Joel, Chen, Ruey-Cheng and Culpepper, J. Shane (2016). RMIT at the TREC 2016 LiveQA Track. 25th Text REtrieval Conference, TREC 2016, Gaithersburg, MD United States, 15 November 2016. Gaithersburg, MD United States: National Institute of Standards and Technology.

RMIT at the TREC 2016 LiveQA Track

2015

Conference Publication

Efficient location-aware web search

Mackenzie, Joel, Choudhury, Farhana M. and Culpepper, J. Shane (2015). Efficient location-aware web search. ADCS '15: The 20th Australasian Document Computing Symposium, Parramatta, NSW Australia, 8-9 December 2015. New York, NY United States: Association for Computing Machinery. doi: 10.1145/2838931.2838933

Efficient location-aware web search

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

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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?

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