In this paper, we report the development and experiments of IBM Content Harvester (CH), a tool to analyze and recover templates and content from word processor created text docume...
Background: In the last five years large online resources of human variability have appeared, notably HapMap, Perlegen and the CEPH foundation. These databases of genotypes with p...
Jorge Amigo, Antonio Salas, Christopher Phillips, ...
Users prefer to navigate subjects from organized topics in an abundance resources than to list pages retrieved from search engines. We propose a framework to cluster frequent items...
Recommender systems learn about user preferences over time, automatically finding things of similar interest. This reduces the burden of creating explicit queries. Recommender sys...
— The Web has become the most popular place for people to acquire information. Unfortunately, it is widely recognized that the Web contains a significant amount of untruthful inf...