This paper presents a novel context-based approach to find reliable recommendations for trust model in ubiquitous environments. Context is used in our approach to analyze the userâ...
Most existing content-based ï¬ltering approaches including Rocchio, Language Models, SVM, Logistic Regression, Neural Networks, etc. learn user proï¬les independently without ca...
While many devices today increasingly have the ability to predict human activities, it is still difficult to build accurate personalized machine learning models. As users today wi...
Sophisticated agents operating in open environments must make decisions that efï¬ciently trade off the use of their limited resources between dynamic deliberative actions and dom...
Data security is a critical issue for many organizations. Sensitive data must be protected from both inside and outside attackers. Access control policies and related mechanisms h...