MC3: A System for Minimization of Classifier Construction Cost
Summary: MC3 is a real-time, interactive system that decides which classifiers to build to minimize labeling and construction cost for a given query workload. It exposes classifier impact in real time, enabling cost-aware, demo-ready optimization for large-scale item search with hidden predicates. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Authors
- 1. Shay Gershtein (Tel Aviv University)
- 2. Tova Milo (Tel Aviv University)
- 3. Gefen Morami (Tel Aviv University)
- 4. Slava Novgorodov (eBay)
BibTeX Citation
@inproceedings{gershtein_sigmod20,
title = {{MC3: A System for Minimization of Classifier Construction Cost}},
author = {Gershtein, Shay and Milo, Tova and Morami, Gefen and Novgorodov, Slava},
series = {{SIGMOD} '20},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3318464.3384690},
url = {https://dl.acm.org/doi/10.1145/3318464.3384690},
year = {2020}
}Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,112 | Classifier Construction Under Budget Constraints | 2022 | SIGMOD | 5.1319012e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 2 of 2 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,219 | Chimera: Large-Scale Classification using Machine Learning, Rules, and Crowdsourcing | 2014 | VLDB | 8.9303727e-05 |
| 11,790 | Minimization of Classifier Construction Cost for Search Queries | 2020 | SIGMOD | 5.093636e-05 |
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