SIAM Journal on Discrete Mathematics
Verbs semantics and lexical selection
ACL '94 Proceedings of the 32nd annual meeting on Association for Computational Linguistics
Semantic similarity methods in wordNet and their application to information retrieval on the web
Proceedings of the 7th annual ACM international workshop on Web information and data management
Semantic-based information retrieval of biomedical data
Proceedings of the 2006 ACM symposium on Applied computing
InfoScale '06 Proceedings of the 1st international conference on Scalable information systems
On anonymizing query logs via token-based hashing
Proceedings of the 16th international conference on World Wide Web
Privacy protection in personalized search
ACM SIGIR Forum
Proceedings of the 2007 ACM workshop on Privacy in electronic society
Vanity fair: privacy in querylog bundles
Proceedings of the 17th ACM conference on Information and knowledge management
WikiRelate! computing semantic relatedness using wikipedia
AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
From "Dango" to "Japanese Cakes": Query Reformulation Models and Patterns
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
Communications of the ACM
A survey of single-database private information retrieval: techniques and applications
PKC'07 Proceedings of the 10th international conference on Practice and theory in public-key cryptography
Embellishing text search queries to protect user privacy
Proceedings of the VLDB Endowment
A versatile tool for privacy-enhanced web search
ECIR'13 Proceedings of the 35th European conference on Advances in Information Retrieval
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We propose a method for search privacy on the Internet, focusing on enhancing plausible deniability against search engine query-logs. The method approximates the target search results, without submitting the intended query and avoiding other exposing queries, by employing sets of queries representing more general concepts. We model the problem theoretically, and investigate the practical feasibility and effectiveness of the proposed solution with a set of real queries with privacy issues on a large web collection. The findings may have implications for other IR research areas, such as query expansion and fusion in meta-search.