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Reverse k-Ranks Query

Summary: Introduces reverse k-ranks (R-kRanks): for any product, returns the k customers ranking it highest, guaranteeing coverage beyond reverse top-k’s hot-product bias. Develops a tree-based and two batch-pruning algorithms, validated theoretically and experimentally. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
11143
Venue
VLDB
Year
2014
Pagerank
6.0859929e-05
Overall Rank
5,796 | 60.24%
DOI
10.14778/2732977.2732981

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{zhang_vldb14,
        title = {{Reverse k-Ranks Query}},
        author = {Zhang, Zhao and Jin, Cheqing and Kang, Qiangqiang},
        journal = {PVLDB},
        series = {{VLDB} '14},
        volume = {7},
        number = {10},
        pages = {785--796},
        doi = {10.14778/2732977.2732981},
        url = {https://doi.org/10.14778/2732977.2732981},
        year = {2014}
}

Incoming Citations (Sorted by Pagerank)

Showing 6 of 6 citing papers.

Rank Citing Paper Year Venue Pagerank
5,278 Why Not Yet: Fixing a Top-k Ranking that Is Not Fair to Individuals 2023 VLDB 6.2856584e-05
6,249 Maximum Rank Query 2015 VLDB 5.9418925e-05
8,665 Geometric Approaches for Top-k Queries 2017 VLDB 5.3884685e-05
8,825 Creating Top Ranking Options in the Continuous Option and Preference Space 2019 VLDB 5.3616725e-05
9,010 Determining the Impact Regions of Competing Options in Preference Space 2017 SIGMOD 5.3333957e-05
9,900 On m-Impact Regions and Standing Top-k Influence Problems 2021 SIGMOD 5.1997534e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 14 of 14 cited papers.

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

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