ArticleAuthors: Nguyen, Thac Huy; Do, The Chuan; Nguyen, Viet Anh (2016)
The appearance of a vast array of online newspapers makes appropriate news recommendation for users become critically important. A number of researches in this area have been conducted in recent years. This paper presents the Vietnamese content-based news recommender system. Based on information
about news stories that users have read and given feedback, the system can automatically determine news stories that users may want to read later. The center of the system is a hybrid user profile which can diversely model news reading features of individual users thanks to a combination of short
-term and long
-term informatio...