Recommender systems are important to help users select relevant and personalised information over massive amounts of data available. We propose an unified framework called Prefer...
This paper proposes novel hierarchical self-organizing associative memory architecture for machine learning. This memory architecture is characterized with sparse and local interco...
Cueing strategies, such as real-time reminders, are among the most effective methods of persuading individuals to perform healthy behaviors such as taking their medication and exer...
Timothy W. Bickmore, Daniel Mauer, Francisco Cresp...
Web data extraction is concerned, among other things, with routine data accessing and downloading from continuously-updated dynamic Web pages. There is a relevant trade-off between...
In a distributed environment the utilization of file buffer caches in different clients may vary greatly. Cooperative caching is used to increase cache utilization by coordinatin...
Song Jiang, Fabrizio Petrini, Xiaoning Ding, Xiaod...