Interactive View Recommendation

Summary: ViewSeeker automatically discovers and composes utility functions for view selection in high-dimensional data. It adapts to user intent during interactive exploration, yielding a tailored mix of utility functions for the task and visualization. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 5839
Venue: SIGMOD
Year: 2020
Pagerank: 4.1945683e-05
Overall Rank: 11,568 | 19.53%
DOI: 10.1145/3318464.3384407

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Authors

1. Xiaozhong Zhang

Incoming Citations (Sorted by Pagerank)

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Rank	Citing Paper	Year	Venue	Pagerank

Outgoing Citations (Sorted by Pagerank)

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
460	SeeDB: Efficient Data-Driven Visualization Recommendations to Support Visual Analytics	2015	VLDB	0.00022516069
1,918	VizDeck: Self-Organizing Dashboards for Visual Analytics	2012	SIGMOD	0.00010097599
3,546	Extracting Top-K Insights from Multi-dimensional Data	2017	SIGMOD	6.9870745e-05

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