Background: Present-day `-omics' technologies produce overwhelming amounts of data which include genome sequences, information on gene expression (transcripts and proteins) a...
Maria Luisa Chiusano, Nunzio D'Agostino, Alessandr...
The classical probabilistic models attempt to capture the Ad hoc information retrieval problem within a rigorous probabilistic framework. It has long been recognized that the prim...
We demonstrate a method for collaborative ranking of future events. Previous work on recommender systems typically relies on feedback on a particular item, such as a movie, and ge...
Einat Minkov, Ben Charrow, Jonathan Ledlie, Seth J...
This paper presents J-MADeM, a multi-modal decision making mechanism to provide agents in a Multi-Agent Systems (MAS) with a market-based model for complex decision problems. J-MA...
Francisco Grimaldo, Miguel Lozano, Fernando Barber
Traditional recommendation algorithms often select products with the highest predicted ratings to recommend. However, earlier research in economics and marketing indicates that a ...