Aligning the Research and Practice of Building Search Applications-Reference-Cited by-同舟云学术

Aligning the Research and Practice of Building Search Applications

Published:2022-02-11 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining
language:
Short-container-title:

Author:

Devins Josh¹,Tibshirani Julie¹,Lin Jimmy²

Affiliation:

1. Elastic NV, Amsterdam, Netherlands

2. University of Waterloo, Waterloo, ON, Canada

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3488560.3502186

Reference16 articles.

1. P. Bajaj , D. Campos , N. Craswell , L. Deng , J. Gao , X. Liu , R. Majumder , A. McNamara , B. Mitra , T. Nguyen , M. Rosenberg , X. Song , A. Stoica , S. Tiwary , and T. Wang . 2018 . MS MARCO: A Human Generated MAchine Reading COmprehension Dataset. arXiv:1611.09268v3. P. Bajaj, D. Campos, N. Craswell, L. Deng, J. Gao, X. Liu, R. Majumder, A. McNamara, B. Mitra, T. Nguyen, M. Rosenberg, X. Song, A. Stoica, S. Tiwary, and T. Wang. 2018. MS MARCO: A Human Generated MAchine Reading COmprehension Dataset. arXiv:1611.09268v3.

2. R. Clancy N. Ferro C. Hauff J. Lin T. Sakai and Z. Wu. 2019. Overview of the 2019 Open-Source IR Replicability Challenge (OSIRRC 2019). In Open-Source IR Replicability Challenge at SIGIR 2019. R. Clancy N. Ferro C. Hauff J. Lin T. Sakai and Z. Wu. 2019. Overview of the 2019 Open-Source IR Replicability Challenge (OSIRRC 2019). In Open-Source IR Replicability Challenge at SIGIR 2019.

3. Nick Craswell , Bhaskar Mitra , Daniel Campos , Emine Yilmaz , and Jimmy Lin . 2021 . MS MARCO: Benchmarking Ranking Models in the Large-Data Regime. In SIGIR. 1566--1576. Nick Craswell, Bhaskar Mitra, Daniel Campos, Emine Yilmaz, and Jimmy Lin. 2021. MS MARCO: Benchmarking Ranking Models in the Large-Data Regime. In SIGIR. 1566--1576.

4. A. Grand R. Muir J. Ferenczi and J. Lin. 2020. From MaxScore to Block-Max WAND: The Story of How Lucene Significantly Improved Query Evaluation Performance. In ECIR. A. Grand R. Muir J. Ferenczi and J. Lin. 2020. From MaxScore to Block-Max WAND: The Story of How Lucene Significantly Improved Query Evaluation Performance. In ECIR.

5. V. Karpukhin B. Oguz S. Min P. Lewis L. Wu S. Edunov D. Chen and W.-t. Yih. 2020. Dense Passage Retrieval for Open-Domain Question Answering. In EMNLP. 6769--6781. V. Karpukhin B. Oguz S. Min P. Lewis L. Wu S. Edunov D. Chen and W.-t. Yih. 2020. Dense Passage Retrieval for Open-Domain Question Answering. In EMNLP. 6769--6781.

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Enhancing empirical software performance engineering research with kernel-level events: A comprehensive system tracing approach;Journal of Systems and Software;2024-10

2. Resources for Brewing BEIR: Reproducible Reference Models and Statistical Analyses;Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval;2024-07-10

3. Redis-based full-text search extensions for relational databases;International Journal of Machine Learning and Cybernetics;2024-04-12

4. Vector Search with OpenAI Embeddings: Lucene Is All You Need;Proceedings of the 17th ACM International Conference on Web Search and Data Mining;2024-03-04

5. A Highly Accurate Data Synchronization and Full-text Search Algorithm for Canal and Elasticsearch;2023 IEEE International Conference on Networking, Sensing and Control (ICNSC);2023-10-25