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ICSE
1997
IEEE-ACM
15 years 7 months ago
A Theory of Probabilistic Functional Testing
We propose a framework for “probabilistic functional testing.” The success of a test data set generated according to our method guarantees a certain level of confidence into ...
Gilles Bernot, Laurent Bouaziz, Pascale Le Gall
143
Voted
WSDM
2012
ACM
258views Data Mining» more  WSDM 2012»
13 years 11 months ago
Large-scale analysis of individual and task differences in search result page examination strategies
Understanding the impact of individual and task differences on search result page examination strategies is important in developing improved search engines. Characterizing these e...
Georg Buscher, Ryen W. White, Susan T. Dumais, Jef...
163
Voted
WSDM
2012
ACM
285views Data Mining» more  WSDM 2012»
13 years 11 months ago
Probabilistic models for personalizing web search
We present a new approach for personalizing Web search results to a specific user. Ranking functions for Web search engines are typically trained by machine learning algorithms u...
David Sontag, Kevyn Collins-Thompson, Paul N. Benn...
124
Voted
KDD
2008
ACM
166views Data Mining» more  KDD 2008»
16 years 3 months ago
Generating succinct titles for web URLs
How can a search engine automatically provide the best and most appropriate title for a result URL (link-title) so that users will be persuaded to click on the URL? We consider th...
Deepayan Chakrabarti, Ravi Kumar, Kunal Punera
122
Voted
WSDM
2009
ACM
131views Data Mining» more  WSDM 2009»
15 years 10 months ago
Diversifying search results
We study the problem of answering ambiguous web queries in a setting where there exists a taxonomy of information, and that both queries and documents may belong to more than one ...
Rakesh Agrawal, Sreenivas Gollapudi, Alan Halverso...