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ExRank: An Exploratory Ranking Interface

Summary: ExRank uses a kNN graph and PageRank to guide attribute exploration and show how choices shape distributions. Solves empty results by surfacing similar items; handles large result sets by ranking; demo covers architecture, rationale, and scenarios. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
hed8c649e243d598f
Venue
VLDB
Year
2016
Pagerank
5.4993732e-05
Overall Rank
7,539 | 49.32%
DOI
10.14778/3007263.3007270

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{bespinyowong_vldb16,
        title = {{ExRank: An Exploratory Ranking Interface}},
        author = {Bespinyowong, Ramon and Chen, Wei and Jagadish, H. V. and Ma, Yuxin},
        journal = {PVLDB},
        series = {{VLDB} '16},
        volume = {9},
        number = {13},
        pages = {1529--1532},
        doi = {10.14778/3007263.3007270},
        url = {https://doi.org/10.14778/3007263.3007270},
        year = {2016}
}

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
8,355 FEDEX: An Explainability Framework for Data Exploration Steps 2022 VLDB 5.3482186e-05
9,046 TabEE: Tabular Embeddings Explanations 2024 SIGMOD 5.2311776e-05
11,119 SHARQ: Explainability Framework for Association Rules on Relational Data 2025 SIGMOD 4.9793485e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 0 of 0 cited papers.

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

Rank Cited Paper Year Venue Pagerank
Previous Page 1 / 1 Next

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