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AI
2009
Springer
16 years 1 months ago
Context Dependent Movie Recommendations Using a Hierarchical Bayesian Model
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...
Daniel Pomerantz, Gregory Dudek
ICC
2007
IEEE
134views Communications» more  ICC 2007»
16 years 23 days ago
Pilot design for Joint Channel and Frequency-Dependent Transmit/Receive IQ Imbalance Estimation and Compensation in OFDM-Based T
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...
APN
2007
Springer
16 years 18 days ago
History-Dependent Petri Nets
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...
IIR
2010
15 years 7 months ago
Context-Dependent Recommendations with Items Splitting
Recommender systems are intelligent applications that help on-line users to tackle information overload by providing recommendations of relevant items. Collaborative Filtering (CF...
Linas Baltrunas, Francesco Ricci
FMCO
2009
Springer
134views Formal Methods» more  FMCO 2009»
15 years 4 months ago
Verification of Context-Dependent Channel-Based Service Models
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