Weighted Set Multi-Cover on Bounded Universe and Applications in Package Recommendation
Summary: Exploits a bounded attribute universe to make weighted set multi-cover tractable for representative/package selection over query outputs. Provides exact DP and practical 2- and (2+ε)-approximation algorithms, including a near-linear method with guarantees independent of universe size. (summarized by gpt-5.6-luna on Jul 26 2026)
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Authors
- 1. Nima Shahbazi (University of Illinois Chicago)
- 2. Aryan Esmailpour (University of Illinois Chicago)
- 3. Stavros Sintos (University of Illinois Chicago)
BibTeX Citation
@inproceedings{shahbazi_sigmod26,
title = {{Weighted Set Multi-Cover on Bounded Universe and Applications in Package Recommendation}},
author = {Shahbazi, Nima and Esmailpour, Aryan and Sintos, Stavros},
series = {{SIGMOD} '26},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3802126},
url = {https://dl.acm.org/doi/10.1145/3802126},
year = {2026}
}
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