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Measure-driven Keyword-Query Expansion

Summary: Introduces domain-neutral, measure-driven keyword-query expansion for progressive result refinement, using surprising co-occurrences and optional ratings instead of facets. A convex-optimization framework efficiently computes top-k expansions via pruning with low storage overhead. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
10134
Venue
VLDB
Year
2009
Pagerank
6.7853952e-05
Overall Rank
4,280 | 70.64%
DOI
10.14778/1687627.1687642

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{sarkas_vldb09,
        title = {{Measure-driven Keyword-Query Expansion}},
        author = {Sarkas, Nikos and Bansal, Nilesh and Das, Gautam and Koudas, Nick},
        journal = {PVLDB},
        series = {{VLDB} '09},
        doi = {10.14778/1687627.1687642},
        url = {https://doi.org/10.14778/1687627.1687642},
        year = {2009}
}

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