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Conference Papers Year : 2009

Online Document Filtering Using Adaptive k-NN


We propose in this paper an adaptation of the k-Nearest Neighbor (k-NN) algorithm using category specific thresholds in a multiclass environment where a document can belong to more than one class. Our method uses feedback to tune the thresholds and in turn the classification performance over time. The experiments were run on the InFile data, comprising 100,000 English documents and 50 topics.
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Dates and versions

hal-00953854 , version 1 (28-02-2014)


  • HAL Id : hal-00953854 , version 1


Vincent Bodinier, Ali Mustafa Qamar, Eric Gaussier. Online Document Filtering Using Adaptive k-NN. Evaluating Systems for Multilingual and Multimodal Information Access, 2009, Unknown, pp.947-950. ⟨hal-00953854⟩
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