Welcome!
To use the personalized features of this site, please log in or register.
If you have forgotten your username or password, we can help.
|
 |
Privacy in Web Search Query Log Mining
| |
|
Privacy in Web Search Query Log Mining
Rosie Jones22
Abstract
Web search engines have changed our lives - enabling instant access to information about subjects that are both deeply important
to us, as well as passing whims. The search engines that provide answers to our search queries also log those queries, in
order to improve their algorithms. Academic research on search queries has shown that they can provide valuable information
on diverse topics including word and phrase similarity, topical seasonality and may even have potential for sociology, as
well as providing a barometer of the popularity of many subjects. At the same time, individuals are rightly concerned about
what the consequences of accidental leaking or deliberate sharing of this information may mean for their privacy. In this
talk I will cover the applications which have benefited from mining query logs, the risks that privacy can be breached by
sharing query logs, and current algorithms for mining logs in a way to prevent privacy breaches.
Fulltext Preview (Small, Large)
|
|
|
|
|
|