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.
M. Atzmueller, F. Lemmerich, J. Reutelshoefer, и F. Puppe. Proc. 2nd International Workshop on Design, Evaluation and Refinement of Intelligent Systems (DERIS2009), том 545 из CEUR-WS, Krakow, Poland, (2009)
M. Atzmueller, F. Haupt, S. Beer, и F. Puppe. Proc. 2nd International Workshop on Design, Evaluation and Refinement of Intelligent Systems (DERIS2009), том 545 из CEUR-WS, стр. 1--12. Krakow, Poland, (2009)
P. Kluegl, M. Atzmueller, и F. Puppe. Proc. Unstructured Information Management Architecture (UIMA), 2nd UIMA@GSCL Workshop, 2009 Conference of the GSCL (Gesellschaft für Sprachtechnologie und Computerlinguistik), (2009)
P. Kluegl, M. Atzmueller, и F. Puppe. Proc. LWA 2009, Knowledge Discovery and Machine Learning Track, Darmstadt, Germany, University of Darmstadt, (2009)