Abstract. We use a hierarchical Bayesian approach to model user preferences in different contexts or settings. Unlike many previous recommenders, our approach is content-based. We...
Abstract— Nowadays a lot of effort is spent on developing OFDMbased inexpensive wireless transceivers. Direct-conversion radio frequency transceivers are appealing because they a...
Eduardo Lopez-Estraviz, Stefaan De Rore, Fran&cced...
Most information systems that are driven by process models (e.g., workflow management systems) record events in event logs, also known as transaction logs or audit trails. We cons...
Kees M. van Hee, Alexander Serebrenik, Natalia Sid...
Recommender systems are intelligent applications that help on-line users to tackle information overload by providing recommendations of relevant items. Collaborative Filtering (CF...
Abstract. The paradigms of service-oriented computing and modeldriven development are becoming of increasing importance in the field of software engineering. According to these par...
Natallia Kokash, Christian Krause, Erik P. de Vink