Personalized E-News Monitoring Agent System for Tracking the User-Interested Chinese News Events

The study presents a personalized e-news monitoring agent system which employs the topic tracking based approach for tracking the user-interested news events. The proposed scheme simultaneously considers both the similarities and the semantic relationships among news topics to track the user-interested news topics. Additionally, the Chinese word segmentation system ECScanner with new words' extension mechanism is proposed to perform Chinese word segmentation process herein. The experimental results indicated that using the proposed ECScanner with new words' extension mechanism to perform Chinese word segmentation process can obviously promote the accuracy rate of tracking the user-interested news events.