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We present a new method and system for performing the New Event Detection task, i.e., in one or multiple streams of news stories, all stories on a previously unseen (new) event are marked. The method is based on an incremental TF-IDF model. Our extensions include: generation of source-specific models, similarity score normalization based on document-specific averages, similarity score normalization based on source-pair specific averages, term reweighting based on inverse event frequencies, anddoi:10.1145/860435.860495 dblp:conf/sigir/BrantsC03 fatcat:7wnu6t2pv5as3fhzeg34x6mkj4