document: Efficient overlap and content reuse detection in blogs and online news articles The use of blogs to track and comment on real world ( political , news , entertainment ) events is growing . Similarly , as more individuals start relying on the Web as their primary information source and as more traditional media outlets try reaching consumers through alternative venues , the number of news sites on the Web is also continuously increasing . Content-reuse , whether in the form of extensive quotations or content borrowing across media outlets , is very common in blogs and news entries outlets tracking the same real-world event . Knowledge about which web entries re-use content from which others can be an effective asset when organizing these entries for presentation . On the other hand , this knowledge is not cheap to acquire : considering the size of the related space web entries , it is essential that the techniques developed for identifying re-use are fast and scalable . Furthermore , the dynamic nature of blog and news entries necessitates incremental processing for reuse detection . In this paper , we develop a novel qSign algorithm that efficiently and effectively analyze the blogosphere for quotation and reuse identification . Experiment results show that with qSign processing time gains from 10X to 100X are possible while maintaining reuse detection rates of upto 90 % . Furthermore , processing time gains can be pushed multiple orders of magnitude ( from 100X to 1000X ) for 70 % recall .
doc_bio_tags: O O O O B I O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O B I O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O B I O O O O O O O O O O O O O O O O O O O O O O O O O O O O O