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» Information landscapes and the analysis of search algorithms
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WWW
2008
ACM
15 years 11 months ago
Characterizing typical and atypical user sessions in clickstreams
Millions of users retrieve information from the Internet using search engines. Mining these user sessions can provide valuable information about the quality of user experience and...
Narayanan Sadagopan, Jie Li
WWW
2004
ACM
15 years 11 months ago
Propagation of trust and distrust
A (directed) network of people connected by ratings or trust scores, and a model for propagating those trust scores, is a fundamental building block in many of today's most s...
Ramanathan V. Guha, Ravi Kumar, Prabhakar Raghavan...
105
Voted
SAC
2006
ACM
15 years 4 months ago
Exploiting partial decision trees for feature subset selection in e-mail categorization
In this paper we propose PARTfs which adopts a supervised machine learning algorithm, namely partial decision trees, as a method for feature subset selection. In particular, it is...
Helmut Berger, Dieter Merkl, Michael Dittenbach
98
Voted
ISSTA
1998
ACM
15 years 3 months ago
Computation of Interprocedural Control Dependence
Program dependence information is useful for a variety of software testing and maintenance tasks. Properly defined, control and data dependencies can be used to identify semantic...
Mary Jean Harrold, Gregg Rothermel, Saurabh Sinha
101
Voted
CIKM
2008
Springer
15 years 28 days ago
Summarization of social activity over time: people, actions and concepts in dynamic networks
We present a framework for automatically summarizing social group activity over time. The problem is important in understanding large scale online social networks, which have dive...
Yu-Ru Lin, Hari Sundaram, Aisling Kelliher