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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)

Paper ID
6705
Venue
SIGMOD
Year
2023
Pagerank
4.1945683e-05
Overall Rank
11,206 | 22.05%
DOI
10.1145/3589787

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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
221 Deep Entity Matching with Pre-Trained Language Models 2021 VLDB 0.00033121824
300 Deep Learning for Entity Matching: A Design Space Exploration 2018 SIGMOD 0.00028441466
522 Differential dataflow 2013 CIDR 0.00021099241
754 Distributed Representations of Tuples for Entity Resolution 2018 VLDB 0.00017117211
1,345 Entity Matching: How Similar Is Similar 2011 VLDB 0.00012468408
1,831 Synthesizing Entity Matching Rules by Examples 2018 VLDB 0.00010384082
5,165 The Vadalog System: Datalog-based Reasoning for Knowledge Graphs 2018 VLDB 5.6529675e-05
8,406 DADER: Hands-Off Entity Resolution with Domain Adaptation 2022 VLDB 4.5220083e-05
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