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EMNLP
2009
15 years 3 months ago
Model Adaptation via Model Interpolation and Boosting for Web Search Ranking
This paper explores two classes of model adaptation methods for Web search ranking: Model Interpolation and error-driven learning approaches based on a boosting algorithm. The res...
Jianfeng Gao, Qiang Wu, Chris Burges, Krysta Marie...
206
Voted
EDBT
2012
ACM
225views Database» more  EDBT 2012»
13 years 8 months ago
Differentially private search log sanitization with optimal output utility
Web search logs contain extremely sensitive data, as evidenced by the recent AOL incident. However, storing and analyzing search logs can be very useful for many purposes (i.e. in...
Yuan Hong, Jaideep Vaidya, Haibing Lu, Mingrui Wu
ESSOS
2009
Springer
16 years 28 days ago
Toward Non-security Failures as a Predictor of Security Faults and Failures
In the search for metrics that can predict the presence of vulnerabilities early in the software life cycle, there may be some benefit to choosing metrics from the non-security rea...
Michael Gegick, Pete Rotella, Laurie Williams
SEMWEB
2007
Springer
16 years 7 days ago
Ontology-based Semantic Relevance Measure
Semantic relevance among information resources can play an effective role in information retrieval, and there are several different approaches to measure semantic similarities. H...
Sang Keun Rhee, Jihye Lee, Myon-Woong Park
WWW
2009
ACM
16 years 6 months ago
Releasing search queries and clicks privately
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-h...
Aleksandra Korolova, Krishnaram Kenthapadi, Nina M...