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.