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: 10108
Venue: VLDB
Year: 2010
Pagerank: 4.8256526e-05
Overall Rank: 7,121 | 50.47%
DOI: -

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
3,195	Modular Order-Preserving Encryption, Revisited	2015	SIGMOD	7.4026351e-05
8,930	Privacy Preservation by Disassociation	2012	VLDB	4.427232e-05

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
3,932	Authenticating the Query Results of Text Search Engines	2008	VLDB	6.6184355e-05

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