Database Paper Browser

Back to papers

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
6706
Venue
SIGMOD
Year
2023
Pagerank
4.1905499e-05
Overall Rank
11,208 | 22.11%
DOI
10.1145/3589787

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

Incoming Citations (Sorted by Pagerank)

Showing 0 of 0 citing papers.

Rank Citing Paper Year Venue Pagerank
Previous Page 1 / 1 Next

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
219 Deep Entity Matching with Pre-Trained Language Models 2021 VLDB 0.00033354456
293 Deep Learning for Entity Matching: A Design Space Exploration 2018 SIGMOD 0.00028661817
524 Differential dataflow 2013 CIDR 0.00021093133
740 Distributed Representations of Tuples for Entity Resolution 2018 VLDB 0.00017358024
1,338 Entity Matching: How Similar Is Similar 2011 VLDB 0.00012501156
1,821 Synthesizing Entity Matching Rules by Examples 2018 VLDB 0.00010406856
5,166 The Vadalog System: Datalog-based Reasoning for Knowledge Graphs 2018 VLDB 5.6475375e-05
8,401 DADER: Hands-Off Entity Resolution with Domain Adaptation 2022 VLDB 4.5176737e-05
Previous Page 1 / 1 Next

Semantically Similar Papers