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Conference papers

Online Document Filtering Using Adaptive k-NN

Abstract : 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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https://hal.inria.fr/hal-00953854
Contributor : Marie-Christine Fauvet <>
Submitted on : Friday, February 28, 2014 - 4:02:28 PM
Last modification on : Tuesday, December 8, 2020 - 10:42:46 AM

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  • HAL Id : hal-00953854, version 1

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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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