Skip to main content

From Popularity Prediction to Ranking Online News

From Popularity Prediction to Ranking Online News



News articles are an engaging type of online content that captures the attention of a significant amount of Internet users. They are particularly enjoyed by mobile users and massively spread through online social platforms. As a result, there is an increased interest in discovering the articles that will become popular among users. This objective falls under the broad scope of content popularity prediction and has direct implications in the development of new services for online advertisement and content distribution. In this paper, we address the problem of predicting the popularity of news articles based on user comments. We formulate the prediction task as a ranking problem, where the goal is not to infer the precise attention that a content will receive but to accurately rank articles based on their predicted popularity. Using data obtained from two important news sites in France and Netherlands, we analyze the ranking effectiveness of two prediction models. Our results indicate that popularity prediction methods are adequate solutions for this ranking task and could be considered as a valuable alternative for automatic online news ranking.

Popular posts from this blog

(26) Post | LinkedIn

(26) Post | LinkedIn : ► Trump was first compromised by the Russians back in the 80s. In 1984, the Russian Mafia began to use Trump real estate to launder money and it continued for decades. In 1987, the Soviet ambassador to the United Nations, Yuri Dubinin, arranged for Trump and his then-wife, Ivana, to enjoy an all-expense-paid trip to Moscow to consider possible business prospects. Only seven weeks after his trip, Trump ran full-page ads in the Boston Globe, the NYT and WaPO calling for, in effect, the dismantling of the postwar Western foreign policy alliance. The whole Trump/Russian connection started out as laundering money for the Russian mob through Trump's real estate, but evolved into something far bigger. ► In 1984, David Bogatin — a Russian mobster, convicted gasoline bootlegger, and close ally of Semion Mogilevich, a major Russian mob boss — met with Trump in Trump Tower right after it opened. Bogatin bought five condos from Trump at that meeting. Those condos were...