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Embellishing Text Search Queries To Protect User Privacy

Summary: Embellish queries with decoy terms that mimic genuine term specificity to hide user intent in similarity-based text retrieval. A retrieval scheme computes encrypted relevance scores from the genuine terms only, while decoys remain indistinguishable, preserving precision/recall; empirical evaluation confirms effectiveness. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
10299
Venue
VLDB
Year
2010
Pagerank
5.6587785e-05
Overall Rank
7,273 | 50.11%
DOI
10.14778/1920841.1920918

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{pang_vldb10,
        title = {{Embellishing Text Search Queries To Protect User Privacy}},
        author = {Pang, HweeHwa and Ding, Xuhua and Xiao, Xiaokui},
        journal = {PVLDB},
        series = {{VLDB} '10},
        volume = {3},
        number = {1},
        pages = {598},
        doi = {10.14778/1920841.1920918},
        url = {https://doi.org/10.14778/1920841.1920918},
        year = {2010}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
3,293 Modular Order-Preserving Encryption, Revisited 2015 SIGMOD 7.5517336e-05
9,086 Privacy Preservation by Disassociation 2012 VLDB 5.3251649e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 1 of 1 cited papers.

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

Rank Cited Paper Year Venue Pagerank
4,031 Authenticating the Query Results of Text Search Engines 2008 VLDB 6.9458015e-05
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