Cascading Ranking Pipelines For Sensitivity-Aware Search

McKechnie, J. (2024) Cascading Ranking Pipelines For Sensitivity-Aware Search. In: 46th European Conference on Information Retrieval (ECIR2024), Glasgow, Scotland, 24-28 Mar 2024, pp. 331-333. ISBN 9783031560682 (doi: 10.1007/978-3-031-56069-9_41)

Abstract

Search engines are designed to make information accessible. However, some information should not be accessible, such as documents concerning citizenship applications or personal information. This sensitive information is often found interspersed with other potentially useful non-sensitive information. As such, collections containing sensitive information cannot be made searchable due to the risk of revealing sensitive information. The development of search engines capable of safely searching collections containing sensitive information to provide relevant and non-sensitive information would allow previously hidden collections to be made available. This work aims to develop sensitivity-aware search engines via two-stage cascading retrieval pipelines.

• Item Type: Conference Proceedings
• Keywords: Sensitivity-aware search, privacy, sensitive information.
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: McKechnie, Jack
• Authors: McKechnie, J.
• College/School: College of Science and Engineering > School of Computing Science
• ISBN: 9783031560682
• Copyright Holders: Copyright © 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG
• First Published: First published in Advances in Information Retrieval. ECIR 2024. Lecture Notes in Computer Science, vol 14612.
• Publisher Policy: Reproduced in accordance with the publisher copyright policy

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