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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)

Paper ID
7499
Venue
SIGMOD
Year
2026
Pagerank
5.093636e-05
Overall Rank
10,305 | 29.30%
DOI
10.1145/3802126

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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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