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: 11275
Venue: VLDB
Year: 2016
Pagerank: 4.7046544e-05
Overall Rank: 7,567 | 47.41%
DOI: -

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
8,388	FEDEX: An Explainability Framework for Data Exploration Steps	2022	VLDB	4.525436e-05
8,862	TabEE: Tabular Embeddings Explanations	2024	SIGMOD	4.4289485e-05
10,404	SHARQ: Explainability Framework for Association Rules on Relational Data	2025	SIGMOD	4.1905499e-05

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

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