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...
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...
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...
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...
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...