@inproceedings{www200918,
       booktitle = {18th International World Wide Web Conference},
           month = {April},
           title = {Releasing Search Queries and Clicks Privately},
          author = {Aleksandra Korolova and Krishnaram Kenthapadi and Nina Mishra and Alexandros Ntoulas},
            year = {2009},
           pages = {171--171},
             url = {http://www2009.eprints.org/18/},
        abstract = {The question of how to publish an anonymized search log was brought to the forefront by a well-intentioned, but privacy-unaware AOL search log release. Since then a series of ad-hoc techniques have been proposed in the literature, though none are known to be provably private. In this paper, we take a major step towards a solution: we show how queries, clicks and their associated perturbed counts can be published in a manner that rigorously preserves privacy. Our algorithm is decidedly simple to state, but non-trivial to analyze. On the opposite side of privacy is the question of whether the data we can safely publish is of any use. Our ?ndings offer a glimmer of hope: we demonstrate that a non-negligible fraction of queries and clicks can indeed be safely published via a collection of experiments on a real search log. In addition, we select an application, keyword generation, and show that the keyword suggestions generated from the perturbed data resemble those generated from the original data. }
}