With the ever increasing amount of digital information, users desire more screen real estate to process their daily computing work, and might well benefit from using a wallsize la...
With the sheer growth of online user data, it becomes challenging to develop preference learning algorithms that are sufficiently flexible in modeling but also affordable in com...
Kai Yu, Shenghuo Zhu, John D. Lafferty, Yihong Gon...
We quantatively analyze the differences between a realistic mobility model, TRANSIMS, and several synthetic mobility models. New synthetic models were created by modifying the sta...
D. Charles Engelhart, Anand Sivasubramaniam, Chris...
We study a peer-to-peer backup system, where users offer some of their storage space to provide service for the others. The economic model for such a system is different from the o...
Scalable analysis on large data sets has been core to the functions of a number of teams at Facebook - both engineering and nonengineering. Apart from ad hoc analysis of data and ...