Supporting Interoperability Between Open-Source Search Engines with the Common Index File Format-Reference-Cited by-同舟云学术

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

Published:2020-07-25 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval
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Author:

Lin Jimmy¹,Mackenzie Joel²,Kamphuis Chris³,Macdonald Craig⁴,Mallia Antonio⁵,Siedlaczek Michał⁵,Trotman Andrew⁶,de Vries Arjen³

Affiliation:

1. University of Waterloo, Waterloo, ON, Canada

2. The University of Melbourne, Melbourne, Australia

3. Radboud University, Nijmegen, Netherlands

4. University of Glasgow, Glasgow, United Kingdom

5. New York University, New York, NY, USA

6. University of Otago, Dunedin, New Zealand

Funder

Natural Sciences and Engineering Research Council of Canada

Dutch Research Council

National Science Foundation

Compute Ontario

Compute Canada

Australian Research Council

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3397271.3401404

Reference16 articles.

1. Leonid Boytsov David Novak Yury Malkov and Eric Nyberg. 2016. Off the Beaten Path: Let's Replace Term-Based Retrieval with k-NN Search. In CIKM. Leonid Boytsov David Novak Yury Malkov and Eric Nyberg. 2016. Off the Beaten Path: Let's Replace Term-Based Retrieval with k-NN Search. In CIKM.

2. Matt Crane J. Shane Culpepper Jimmy Lin Joel Mackenzie and Andrew Trotman. 2017. A Comparison of Document-at-a-Time and Score-at-a-Time Query Evaluation. In WSDM. Matt Crane J. Shane Culpepper Jimmy Lin Joel Mackenzie and Andrew Trotman. 2017. A Comparison of Document-at-a-Time and Score-at-a-Time Query Evaluation. In WSDM.

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