Joel Mackenzie

Anytime Ranking on Document-Ordered Indexes

Joel Mackenzie, Matthias Petri, Alistair Moffat

Journal article  |  2022  |  ACM Transactions on Information Systems

Inverted indexes continue to be a mainstay of text search engines, allowing efficient querying of large document collections. Whil..

Different Keystrokes for Different Folks: Visualizing Crowdworker Querying Behavior

R Benham, J MacKenzie, JS Culpepper, A Moffat

Conference Proceedings  |  2021  |  CHIIR 2021 - Proceedings of the 2021 Conference on Human Information Interaction and Retrieval

Search engine users retrieve relevant information for an information need using keyword queries. Different users may have similar ..

Examining the Additivity of Top-k Query Processing Innovations

J MacKenzie, A Moffat

Conference Proceedings  |  2020  |  CIKM '20: Proceedings of the 29th ACM International Conference on Information & Knowledge Management

Research activity spanning more than five decades has led to index organizations, compression schemes, and traversal algorithms th..

CC-News-En: A Large English News Corpus

Joel Mackenzie, Rodger Benham, Matthias Petri, Johanne R Trippas, J Shane Culpepper, Alistair Moffat

Conference Proceedings  |  2020  |  CIKM '20: Proceedings of the 29th ACM International Conference on Information & Knowledge Management

We describe a static, open-access news corpus using data from the Common Crawl Foundation, who provide free, publicly available we..

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

Jimmy Lin, Joel Mackenzie, Chris Kamphuis, Craig Macdonald, Antonio Mallia, Michał Siedlaczek, Andrew Trotman, Arjen de Vries

Conference Proceedings  |  2020  |  Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval

There exists a natural tension between encouraging a diverse ecosystem of open-source search engines and supporting fair, replicab..

Efficiency Implications of Term Weighting for Passage Retrieval

Joel Mackenzie, Zhuyun Dai, Luke Gallagher, Jamie Callan

Conference Proceedings  |  2020  |  Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval

Language model pre-training has spurred a great deal of attention for tasks involving natural language understanding, and has been..

Boosting search performance using query variations

R Benham, Joel Mackenzie, A Moffat, JS Culpepper

Journal article  |  2019  |  ACM Transactions on Information Systems

Rank fusion is a powerful technique that allows multiple sources of information to be combined into a single result set. Query var..

Accelerated query processing via similarity score prediction

M Petri, A Moffat, J Mackenzie, J Shane Culpepper, D Beck

Conference Proceedings  |  2019  |  Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval

Publication rights licensed to ACM. Processing top-k bag-of-words queries is critical to many information retrieval applications, ..

Compressing inverted indexes with recursive graph bisection: A reproducibility study

J Mackenzie, A Mallia, M Petri, JS Culpepper, T Suel

Conference Proceedings  |  2019  |  Lecture Notes in Computer Science

© Springer Nature Switzerland AG 2019. Document reordering is an important but often overlooked preprocessing stage in index const..

PISA: Performant Indexes and Search for Academia

A Mallia, M Siedlaczek, J Mackenzie, T Suel

Conference Proceedings  |  2019  |  Proc. of the Open-Source IR Replicability Challenge (OSIRRC) at SIGIR 2019

Performant Indexes and Search for Academia (PISA) is an experimental search engine that focuses on efficient implementations of st..