Traditional machine-learned ranking algorithms for web search are trained in batch mode, which assume static relevance of documents for a given query. Although such a batch-learni...
We describe a semantic data validation tool that is capable of observing incoming real-time sensor data and performing reasoning against a set of rules specific to the scientific d...
A city offers thousands of social events a day, and it is difficult for dwellers to make choices. The combination of mobile phones and recommender systems can change the way one de...
Daniele Quercia, Neal Lathia, Francesco Calabrese,...
We consider the problem of finding a ranking of a set of elements that is "closest to" a given set of input rankings of the elements; more precisely, we want to find a p...
Ubiquitous multi-core-based web servers and edge routers are increasingly popular in deploying computationally intensive Deep Packet Inspection (DPI) programs. Previous work has s...
Danhua Guo, Guangdeng Liao, Laxmi N. Bhuyan, Bin L...