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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)

Paper ID
5863
Venue
SIGMOD
Year
2020
Pagerank
4.1945683e-05
Overall Rank
11,581 | 19.44%
DOI
10.1145/3318464.3384690

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Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
9,964 Classifier Construction Under Budget Constraints 2022 SIGMOD 4.2269436e-05
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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
1,716 Chimera: Large-Scale Classification using Machine Learning, Rules, and Crowdsourcing 2014 VLDB 0.00010795718
11,595 Minimization of Classifier Construction Cost for Search Queries 2020 SIGMOD 4.1945683e-05
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