Abstract: Methods, systems, and media for content ranking using real-time data are provided. In accordance with some embodiments of the present invention, a method, implemented on a processor, for ranking content is provided. The method can include, among other things: receiving real-time information from a plurality of sources; supplementing the received real-time information with historical information and user influence information; analyzing the supplemented real-time information from the plurality of sources to determine real-time trend information; receiving a plurality of content snippets from a content provider; detecting similarities between each of the plurality of content snippets and the determined real-time trend information; ranking the plurality of content snippets based on the detected similarities; and displaying the ranked plurality of content snippets.

Abstract: In accordance with various embodiments of the disclosed subject matter, methods, systems, and media for generating and prioritizing relevant content in real-time data systems are provided. In some embodiments, a method for recommending content for publishing is provided, the method comprising: receiving content from one or more content sources; determining one or more term entities associated with the content; calculating a score of the one or more terms based on a frequency, a recency, and a density at which the one or more term entities appear in one or more real-time information sources; and recommending a content item for publication to at least one of the one or more real-time information sources based on the score, wherein the content item comprises at least a portion of the received content.

Abstract: Methods, systems, and media for content ranking using real-time data are provided. In accordance with some embodiments of the present invention, a method, implemented on a processor, for ranking content is provided. The method can include, among other things: receiving real-time information from a plurality of sources; supplementing the received real-time information with historical information and user influence information; analyzing the supplemented real-time information from the plurality of sources to determine real-time trend information; receiving a plurality of content snippets from a content provider; detecting similarities between each of the plurality of content snippets and the determined real-time trend information; ranking the plurality of content snippets based on the detected similarities; and displaying the ranked plurality of content snippets.