PNTRS

A news recommendation system not only must recommend the latest, trending, and personalized to users but also give opportunity know about people's opinion on trending news. Most of existing systems focus recommending articles based user-specific tweets. In contrast these systems, proposed Personalized News Tweet Recommendation System (PNTRS) recommends tweets recommended article. It firstly generates user's interest twitter profile using Multinomial Naïve Bayes (MNB) classifier. Further, uses various fuzzy inference system. Additionally, feedback-based learning is applied improve efficiency The user feedback rating taken evaluate satisfaction level, it 7.9 scale 10.