Recommendation systems exist to help users discover content in a large body of items. An ideal recommendation system should mimic the actions of a trusted friend or expert, produc...
As context is acknowledged as an important factor that can affect users’ preferences, many researchers have worked on improving the quality of recommender systems by utilizing ...
Automated pedestrian detection, counting, and tracking have received significant attention in the computer vision community of late. As such, a variety of techniques have been inve...
We propose a translation recommendation framework to integrate Statistical Machine Translation (SMT) output with Translation Memory (TM) systems. The framework recommends SMT outp...
act 11 Recommender systems anticipate users’ needs by suggesting items that are likely to interest them. Most existing systems 12 employ collaborative filtering (CF) techniques,...
Chris Cornelis, Jie Lu, Xuetao Guo, Guanquang Zhan...