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Personalized News Recommendation Using Twitter
2013
2013 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT)
Online news reading has become a popular way to read news articles from a huge collection of news sources around the globe. News recommender systems help users manage this flood by suggesting articles based on user interests rather than presenting articles in order of their occurrence. We present our research on developing personalized news recommendation system with the help of a popular micro-blogging service, "Twitter." News articles are ranked based on the popularity of the article
doi:10.1109/wi-iat.2013.144
dblp:conf/iat/JonnalageddaG13
fatcat:u3thzngqorgofdftfc37xq4yfe