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Interactive Summarization and Exploration of Top Aggregate Query Answers

Summary: Interactive summarization and exploration of top-k aggregate answers; clustering top-valued results into diverse groups. Formalizes optimization problems, analyzes semilattice cluster structure, and proposes algorithms; validates via GUI prototype. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11920
Venue
VLDB
Year
2018
Pagerank
6.595034e-05
Overall Rank
4,631 | 68.23%
DOI
10.14778/3275366.3275369

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{wen_vldb18,
        title = {{Interactive Summarization and Exploration of Top Aggregate Query Answers}},
        author = {Wen, Yuhao and Zhu, Xiaodan and Roy, Sudeepa and Yang, Jun},
        journal = {PVLDB},
        series = {{VLDB} '18},
        volume = {11},
        number = {13},
        pages = {2196--2208},
        doi = {10.14778/3275366.3275369},
        url = {https://doi.org/10.14778/3275366.3275369},
        year = {2018}
}

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