Data-Semantics-Aware Recommendation of Diverse Pivot Tables
Summary: SAGE: data-semantics-aware recommendation of k-budgeted, interpretable pivot tables with explicit diversification beyond redundant top-k. Key contributions: utility/diversity model exploiting data semantics + scalable greedy search over the combinatorial attribute space. (summarized by gpt-5.4-mini on Apr 11 2026)
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Authors
- 1. Whanhee Cho (University of Utah)
- 2. Anna Fariha (University of Utah)
BibTeX Citation
@inproceedings{cho_sigmod26,
title = {{Data-Semantics-Aware Recommendation of Diverse Pivot Tables}},
author = {Cho, Whanhee and Fariha, Anna},
series = {{SIGMOD} '26},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3786637},
url = {https://dl.acm.org/doi/10.1145/3786637},
year = {2026}
}
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