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DataLens: Making a Good First Impression

Summary: DataLens selects representative first-page items without sorting or ranking, addressing the lack of inherent ranking in typical DB results. It enables hierarchical drill-down to similar items with dynamic updates of representatives as queries evolve. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4282
Venue
SIGMOD
Year
2009
Pagerank
5.2343812e-05
Overall Rank
9,710 | 33.39%
DOI
10.1145/1559845.1559997

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{liu_sigmod09,
        title = {{DataLens: Making a Good First Impression}},
        author = {Liu, Bin and Jagadish, H.V.},
        series = {{SIGMOD} '09},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1559845.1559997},
        url = {https://dl.acm.org/doi/10.1145/1559845.1559997},
        year = {2009}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
3,881 Using Trees to Depict a Forest 2009 VLDB 7.0490549e-05
8,936 Toward Scalable Keyword Search over Relational Data 2010 VLDB 5.3483178e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 6 of 6 cited papers.

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

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