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Query Answering Under Volume-Based Diversity Functions

Summary: Introduces volume-based diversity functions for query answers, avoiding unintuitive pairwise-distance aggregation. Despite NP-hardness for conjunctive queries, guarantees a universal (1−1/e)-approximation and links efficient computation to ranked enumeration. (summarized by gpt-5.6-luna on Jul 09 2026)

Paper ID
2058
Venue
PODS
Year
2026
Pagerank
5.093636e-05
Overall Rank
10,180 | 30.16%
DOI
10.1145/3767717

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BibTeX Citation

@inproceedings{arenas_pods26,
        address = {New York, NY, USA},
        series = {{PODS} '26},
        title = {{Query Answering Under Volume-Based Diversity Functions}},
        url = {https://dl.acm.org/doi/10.1145/3767717},
        doi = {10.1145/3767717},
        booktitle = {Proceedings of the {ACM} {SIGMOD} Symposium on {Principles} of {Database} {Systems}},
        publisher = {Association for Computing Machinery},
        author = {Arenas, Marcelo and Merkl, Timo Camillo and Pichler, Reinhard and Riveros, Cristian},
        year = {2026}
}

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