A survey of news recommendation approaches

World Wide Web has reformed the traditional model of news reading. Online news reading has turned out to be extremely famous as the Internet provides an enormous number of sources to access news articles. News recommendation system is an automated approach built to provide the most appropriate information on the vast amount of data on the internet which represents the user's needs without the manual exertion of users. The fundamental thought behind the news recommender system is to assist man-machine interaction. In this paper, we survey various approaches to the news recommendation system and provide qualitative analysis of them, to bring insight to research scope in this direction.

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