Topic tracking is an important task of Topic Detection and Tracking (TDT). Its purpose is to detect stories, from a stream of news, related to known topics. Each topic is “knownâ...
In this paper the authors point out that the Pareto Optimality is unfair, unreasonable and imperfect for Many-objective Optimization Problems (MOPs) underlying the hypothesis that ...
Computational grids have not scaled effectively due to administrative hurdles to resource and user participation. Most production grids are essentially multi-site supercomputer ce...
Weishuai Yang, Nael B. Abu-Ghazaleh, Michael J. Le...
Recommendation systems are widely used on the Internet to assist customers in finding the products or services that best fit with their individual preferences. While current imple...
Jochen Malinowski, Tobias Keim, Oliver Wendt, Tim ...
An adaptive recommendation service seeks to adapt to its users, providing increasingly personalized recommendations over time. In this paper we introduce the \Fab" adaptive W...