Matches in ScholarlyData for { <https://w3id.org/scholarlydata/inproceedings/www2009/paper/18> ?p ?o. }
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- 18 type InProceedings.
- 18 label "Releasing Search Queries and Clicks Privately".
- 18 sameAs 18.
- 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 findings 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.".
- 18 hasAuthorList authorList.
- 18 isPartOf proceedings.
- 18 keyword "Data Mining".
- 18 title "Releasing Search Queries and Clicks Privately".