Abstract. This paper addresses the problem of capturing rich, longterm personal activity logs of users’ interactions with their workstations, for the purpose of deriving predicti...
Online social network sites, such as MySpace, Facebook and others have grown rapidly, with hundreds of millions of active users. A new feature on many sites is social applications...
Andrew Besmer, Heather Richter Lipford, Mohamed Sh...
We present a computational framework to automatically discover high-order temporal social patterns from very noisy and sparse location data. We introduce the concept of social foo...
Privacy is an increasing concern in the marketplace. Although enterprises promise sound privacy practices to their customers, there is no technical mechanism to enforce them inter...
Understanding goals and preferences behind a user's online activities can greatly help information providers, such as search engine and E-Commerce web sites, to personalize c...
Honghua (Kathy) Dai, Lingzhi Zhao, Zaiqing Nie, Ji...