Privacy-preserving data mining
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
On the design and quantification of privacy preserving data mining algorithms
PODS '01 Proceedings of the twentieth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Communications of the ACM
k-anonymity: a model for protecting privacy
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
Stuff I've seen: a system for personal information retrieval and re-use
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Implicit user modeling for personalized search
Proceedings of the 14th ACM international conference on Information and knowledge management
Usable privacy and security for personal information management
Communications of the ACM - Personal information management
Fast, flexible filtering with phlat
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Personalization in privacy-aware highly dynamic systems
Communications of the ACM - Privacy and security in highly dynamic systems
Vision paper: enabling privacy for the paranoids
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Improving Web Search by Categorization, Clustering, and Personalization
ADMA '08 Proceedings of the 4th international conference on Advanced Data Mining and Applications
Authenticating the query results of text search engines
Proceedings of the VLDB Endowment
An attentive self-organizing neural model for text mining
Expert Systems with Applications: An International Journal
Preserving user's privacy in web search engines
Computer Communications
Privacy-preserving similarity-based text retrieval
ACM Transactions on Internet Technology (TOIT)
Using social networks to distort users' profiles generated by web search engines
Computer Networks: The International Journal of Computer and Telecommunications Networking
MDAI'10 Proceedings of the 7th international conference on Modeling decisions for artificial intelligence
Enhancing deniability against query-logs
ECIR'11 Proceedings of the 33rd European conference on Advances in information retrieval
UPS: efficient privacy protection in personalized web search
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Exploiting social networks to provide privacy in personalized web search
Journal of Systems and Software
Rational behavior in peer-to-peer profile obfuscation for anonymous keyword search
Information Sciences: an International Journal
Information Sciences: an International Journal
A query scrambler for search privacy on the internet
Information Retrieval
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Personalized search is a promising way to improve the accuracy of web search, and has been attracting much attention recently. However, effective personalized search requires collecting and aggregating user information, which often raise serious concerns of privacy infringement for many users. Indeed, these concerns have become one of the main barriers for deploying personalized search applications, and how to do privacy-preserving personalization is a great challenge. In this paper, we systematically examine the issue of privacy preservation in personalized search. We distinguish and define four levels of privacy protection, and analyze various software architectures for personalized search. We show that client-side personalization has advantages over the existing server-side personalized search services in preserving privacy, and envision possible future strategies to fully protect user privacy.