DBScholar

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
6767
Venue
SIGMOD
Year
2023
Pagerank
5.093636e-05
Overall Rank
11,407 | 21.74%
DOI
10.1145/3589787

Incoming Non-self Citations Over Time

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

Authors

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)

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.

Previous Page 1 / 1 Next

Semantically Similar Papers