Embellishing Text Search Queries to Protect User Privacy

Proceedings of the VLDB Endowment - United States
doi 10.14778/1920841.1920918
Full Text
Abstract

Available in full text

Date
Authors
Publisher

VLDB Endowment

Related search

A Comparison of Lucene Search Queries Evolved as Text Classifiers

Applied Artificial Intelligence
Artificial Intelligence
2018English

Using Privacy Policies to Protect Privacy in UBICOMP

English

Probabilistic Prediction of Privacy Risks in User Search Histories

2014English

Privacy-Preserving Range Queries From Keyword Queries

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2015English

Towards Query Logs for Privacy Studies: On Deriving Search Queries From Questions

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2020English

User Modeling for Full-Text Federated Search in Peer-To-Peer Networks

2006English

Summon, EBSCO Discovery Service, and Google Scholar: Comparing Search Performance Using User Queries

2016English

Is Deidentification Sufficient to Protect Health Privacy in Research?

American Journal of Bioethics
Health PolicyEthicsIssuesLegal Aspects
2010English

SensPrecOptimizer: A Software Tool That Combined Search Queries to Design Efficient Search Strategies

Journal of Clinical Epidemiology
Epidemiology
2016English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy