A dummy-based user privacy protection approach for text information retrieval

作者：

Highlights：

• Propose a dummy-based privacy protection approach for text retrieval

• Define a privacy model to formulate the requirements ideal dummy queries should meet

• Present an implementation algorithm that can meet the user privacy model.

摘要

•Propose a dummy-based privacy protection approach for text retrieval•Define a privacy model to formulate the requirements ideal dummy queries should meet•Present an implementation algorithm that can meet the user privacy model.

论文关键词：Text retrieval,Privacy protection,Feature distribution,Topic significance

论文评审过程：Received 23 January 2019, Revised 28 January 2020, Accepted 18 February 2020, Available online 24 February 2020, Version of Record 4 April 2020.

论文官网地址：https://doi.org/10.1016/j.knosys.2020.105679