Active learning (AL) is an increasingly popular strategy for mitigating the amount of labeled data required to train classifiers, thereby reducing annotator effort. We describe ...
Byron C. Wallace, Kevin Small, Carla E. Brodley, T...
Traditionally, research about trust assumes a single type of trust between users. However, trust, as a social concept, inherently has many facets indicating multiple and heterogen...
At Google, experimentation is practically a mantra; we evaluate almost every change that potentially affects what our users experience. Such changes include not only obvious user-...
Diane Tang, Ashish Agarwal, Deirdre O'Brien, Mike ...
Incomplete information arises naturally in numerous data management applications. Recently, several researchers have studied query processing in the context of incomplete informat...
Large, socially-driven Web 2.0 sites such as Facebook and Youtube have seen significant growth in popularity [5, 10]. However, strong demand also exists for socially-driven web s...
Frank Uyeda, Diwaker Gupta, Amin Vahdat, George Va...