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- Title
Privacy-aware document retrieval with two-level inverted indexing.
- Authors
Qiao, Yifan; Ji, Shiyu; Wang, Changhai; Shao, Jinjin; Yang, Tao
- Abstract
Previous work on privacy-aware ranking has addressed the minimization of information leakage when scoring top k documents, and has not studied on how to retrieve these top documents and their features for ranking. This paper proposes a privacy-aware document retrieval scheme with a two-level inverted index structure. In this scheme, posting records are grouped with bucket tags and runtime query processing produces query-specific tags in order to gather encoded features of matched documents with a privacy protection during index traversal. To thwart leakage-abuse attacks, our design minimizes the chance that a server processes unauthorized queries or identifies document sharing across posting lists through index inspection or across-query association. This paper presents the evaluation and analytic results of the proposed scheme to demonstrate the tradeoffs in its design considerations for privacy, efficiency, and relevance.
- Publication
Information Retrieval Journal, 2023, Vol 26, Issue 1/2, p1
- ISSN
1386-4564
- Publication type
Article
- DOI
10.1007/s10791-023-09428-z