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MapReduce and Streaming Algorithms for Diversity Maximization in Metric Spaces of Bounded Doubling Dimension

Summary: Streaming and MapReduce algorithms for diversity maximization in bounded-doubling metrics, using compact coresets and achieving (α+ε)-approximation relative to the best sequential linear-space ratio. Experiments scale beyond a billion points. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
h17a34255346c987c
Venue
VLDB
Year
2017
Pagerank
6.213078e-05
Overall Rank
5,246 | 64.73%
DOI
10.14778/3055540.3055542

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{ceccarello_vldb17,
        title = {{MapReduce and Streaming Algorithms for Diversity Maximization in Metric Spaces of Bounded Doubling Dimension}},
        author = {Ceccarello, Matteo and Pietracaprina, Andrea and Pucci, Geppino and Upfal, Eli},
        journal = {PVLDB},
        series = {{VLDB} '17},
        volume = {10},
        number = {5},
        pages = {469--480},
        doi = {10.14778/3055540.3055542},
        url = {https://doi.org/10.14778/3055540.3055542},
        year = {2017}
}

Incoming Citations (Sorted by Pagerank)

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Showing 3 of 3 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
1,145 Efficient Diversity-Aware Search 2011 SIGMOD 0.00011824078
1,729 Addressing Diverse User Preferences in SQL-Query-Result Navigation 2007 SIGMOD 9.7679275e-05
2,759 Composable Core-sets for Diversity and Coverage Maximization 2014 PODS 8.0503817e-05
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