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An in-Browser Microblog Ranking Engine
[chapter]
2012
Lecture Notes in Computer Science
Microblogs, although extremely peculiar pieces of data, constitute a very rich source of information, which has been widely exploited recently, thanks to the liberal access Twitter offers through its API. Nevertheless, computing relevant answers to general queries is still a very challenging task. We propose a new engine, the Twittering Machine, which evaluates SQL like queries on streams of tweets, using ranking techniques computed at query time. Our algorithm is real time, it produces streams
doi:10.1007/978-3-642-33999-8_10
fatcat:af33nfgasnafjoljrmcir4ym5e