Nowadays, social media has become a platform for people to convey their voice and interest to the public. Comments, status or tweets in social media strongly correlates the behavior and interest of user. The new potential of social media activity and machine learning techniques motivated to build this system.

News from different news sites such as: -, are crawled through news crawler. The developed suggest relevant news to user according to their behavior. The interest may change with the span of time so the system is capable of finding the changed interest and suggests the news accordingly. The interest from social media activity (tweets) and keywords related to the users’ interest builds relevant news and the system recommend them to the user.

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News Recommendation based on Social Media Activity's Screenshot


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