We propose a translation recommendation framework to integrate Statistical Machine Translation (SMT) output with Translation Memory (TM) systems. The framework recommends SMT outp...
Recommender systems learn about user preferences over time, automatically finding things of similar interest. This reduces the burden of creating explicit queries. Recommender sys...
Recommender systems are a powerful tool for promoting sales in electronic commerce. An effective shopping recommender system can help boost the retailer’s sales by reminding cus...
Koung-Lung Lin, Jane Yung-jen Hsu, Han-Shen Huang,...
This thesis investigates application of clustering to multi-criteria ratings as a method of improving the precision of top-N recommendations. With the advent of ecommerce sites th...
This paper describes a preliminary investigation of how the capabilities of wearable computers may be used to provide task guidance in mobile environments. Specifically, this stud...