Personalized Blog Recommendation Using the Value, Semantic, and Social Model

A blog has the potential to change the way we perceive information and make friends. Using the value, semantic, and social model of the blogger, this work analyzes the user interfaces and user profile for a proactive recommendation. Retrieving the personal value inclination, article topic semantic, and interactive social network of the bloggers, this study has tried to step toward a blog recommendation system. Related works, analysis model, system architecture, application UI and discussion are presented.