User k-anonymity for privacy preserving data mining of query logs

Author:

Navarro-Arribas Guillermo,Torra Vicenç,Erola Arnau,Castellà-Roca Jordi

Publisher

Elsevier BV

Subject

Library and Information Sciences,Management Science and Operations Research,Computer Science Applications,Media Technology,Information Systems

Reference31 articles.

1. Adar, E. (2007). User 4xxxxx9: Anonymizing query logs. In Query logs workshop in 16 international world wide web conference.

2. Improving search engines by query clustering;Baeza-Yates;Journal of the American Society for Information Science and Technology,2007

3. Barbaro, M., & Zeller, T. (2006). A face is exposed for AOL Searcher No. 4417749. The New York Times.

4. Beeferman, D., & Berger, A. (2000). Agglomerative clustering of a search engine query log. In Proceedings of the sixth ACM SIGKDD international conference on knowledge discovery and data mining (pp. 407–416).

5. Temporal analysis of a very large topically categorized web query log;Beitzel;Journal of the American Society for Information Science and Technology,2007

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