Large-scale text categorization is an important research topic for Web data mining. One of the challenges in large-scale text categorization is how to reduce the amount of human e...
Behavioral targeting (BT) leverages historical user behavior to select the ads most relevant to users to display. The state-of-the-art of BT derives a linear Poisson regression mo...
This paper presents KnowledgeTree, an architecture for adaptive E-Learning based on distributed reusable intelligent learning activities. The goal of KnowledgeTree is to bridge th...
Simultaneous Multithreading (SMT) is emerging as an effective microarchitecture model to increase the utilization of resources in modern super-scalar processors. However, co-sched...
"Open contribution systems" (OCS) are online applications that encourage users to contribute and share content in a "public" and open manner. While these syste...