When Automatic Filtering Comes to the Rescue: Pre-Computing Company Competitor Pairs in Owler
Summary: Automatic CPFilter pre-computes Owler company-competitor pairs, enabling precise filtering before review. MW_CPFilter turns manual work into a semi-automatic workflow by using CPFilter to prune non-competitors and accelerate true-competitor discovery. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Jinsong Guo (Ratiolytics; University of Oxford)
- 2. Aditya Jami (Meltwater)
- 3. Markus Kröll (Meltwater)
- 4. Lukas Schweizer (Meltwater)
- 5. Sergey Paramonov (Meltwater)
- 6. Eric Aichinger (Meltwater)
- 7. Stefano Sferazza (Meltwater)
- 8. Mattia Scaccia (Meltwater)
- 9. Stéphane Reissfelder (Meltwater)
- 10. Eda Cicek (Vienna University of Technology)
- 11. Giovanni Grasso (University of Calabria)
- 12. Georg Gottlob (Ratiolytics; University of Oxford)
BibTeX Citation
@inproceedings{guo_sigmod23,
title = {{When Automatic Filtering Comes to the Rescue: Pre-Computing Company Competitor Pairs in Owler}},
author = {Guo, Jinsong and Jami, Aditya and Kröll, Markus and Schweizer, Lukas and Paramonov, Sergey and Aichinger, Eric and Sferazza, Stefano and Scaccia, Mattia and Reissfelder, Stéphane and Cicek, Eda and Grasso, Giovanni and Gottlob, Georg},
series = {{SIGMOD} '23},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3589787},
url = {https://dl.acm.org/doi/10.1145/3589787},
year = {2023}
}
Incoming Citations (Sorted by Pagerank)
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Outgoing Citations (Sorted by Pagerank)
Showing 8 of 8 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 141 | Deep Entity Matching with Pre-Trained Language Models | 2021 | VLDB | 0.0002964847 |
| 176 | Deep Learning for Entity Matching: A Design Space Exploration | 2018 | SIGMOD | 0.00027191081 |
| 455 | Differential dataflow | 2013 | CIDR | 0.00018133241 |
| 489 | Distributed Representations of Tuples for Entity Resolution | 2018 | VLDB | 0.0001761456 |
| 1,248 | Entity Matching: How Similar Is Similar | 2011 | VLDB | 0.00011498301 |
| 1,465 | Synthesizing Entity Matching Rules by Examples | 2018 | VLDB | 0.00010689571 |
| 4,920 | The Vadalog System: Datalog-based Reasoning for Knowledge Graphs | 2018 | VLDB | 6.4449498e-05 |
| 8,336 | DADER: Hands-Off Entity Resolution with Domain Adaptation | 2022 | VLDB | 5.451516e-05 |
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