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Classifier Construction Under Budget Constraints

Summary: Classifier construction for scalable item search: queries have scores and classifiers incur costs, selecting a budgeted set to maximize total score. Hardness results and a heuristic validated on public and e-commerce data with analyst costs and scores. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
6377
Venue
SIGMOD
Year
2022
Pagerank
5.1319012e-05
Overall Rank
10,112 | 30.63%
DOI
10.1145/3514221.3517863

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{gershtein_sigmod22,
        title = {{Classifier Construction Under Budget Constraints}},
        author = {Gershtein, Shay and Milo, Tova and Novgorodov, Slava and Razmadze, Kathy},
        series = {{SIGMOD} '22},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3514221.3517863},
        url = {https://dl.acm.org/doi/10.1145/3514221.3517863},
        year = {2022}
}

Incoming Citations (Sorted by Pagerank)

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Rank Citing Paper Year Venue Pagerank
9,881 The Image Calculator: 10x Faster Image-AI Inference by Replacing JPEG with Self-designing Storage Format 2024 SIGMOD 5.2040783e-05
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Outgoing Citations (Sorted by Pagerank)

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